Albumentations

List of papers that cite Albumentations

1. AutoML: A Survey of the State-of-the-Art

- X He, K Zhao, X Chu

2. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better

- O Kupyn, T Martyniuk, J Wu

3. Automatic instrument segmentation in robot-assisted surgery using deep learning

- AA Shvets, A Rakhlin, AA Kalinin

4. Angiodysplasia detection and localization using deep convolutional neural networks

- AA Shvets, VI Iglovikov, A Rakhlin

5. Synthetic data for deep learning

- SI Nikolenko

6. Transformation-consistent self-ensembling model for semisupervised medical image segmentation

- X Li, L Yu, H Chen, CW Fu, L Xing

7. TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

- F Pérez-García, R Sparks, S Ourselin

8. COVID-19 prediction and detection using deep learning

- M Alazab, A Awajan, A Mesleh

9. Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network

- G Marques, D Agarwal, I de la Torre Díez

10. Self-supervised learning for dense depth estimation in monocular endoscopy

- X Liu, A Sinha, M Unberath, M Ishii, GD Hager

11. Deep convolutions for in-depth automated rock typing

- EE Baraboshkin, LS Ismailova, DM Orlov

12. Video face manipulation detection through ensemble of cnns

- N Bonettini, ED Cannas, S Mandelli

13. Camera-to-robot pose estimation from a single image

- TE Lee, J Tremblay, T To, J Cheng

14. Semi-supervised segmentation of salt bodies in seismic images using an ensemble of convolutional neural networks

- Y Babakhin, A Sanakoyeu, H Kitamura

15. Dense dilated convolutions' merging network for land cover classification

- Q Liu, M Kampffmeyer, R Jenssen

16. Urban sound tagging using convolutional neural networks

- S Adapa

17. U-NetPlus: a modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instrument

- SM Hasan, CA Linte

18. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

- Á Casado-García, C Domínguez

19. Camera model identification using convolutional neural networks

- A Kuzin, A Fattakhov, I Kibardin

20. StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization

- O Tasar, Y Tarabalka, A Giros

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21. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

- CP Jayapandian, Y Chen, AR Janowczyk, MB Palmer

22. ImageNet pre-trained CNNs for JPEG steganalysis

- Y Yousfi, J Butora, E Khvedchenya

23. Automatic salt deposits segmentation: A deep learning approach

- M Karchevskiy, I Ashrapov, L Kozinkin

24. U-NetPlus: A modified encoder-decoder U-Net architecture for semantic and instance segmentation of surgical instruments from laparoscopic images

- SMK Hasan, CA Linte

25. Monitoring sugar crystallization with deep neural networks

- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu

26. Breast tumor cellularity assessment using deep neural networks

- A Rakhlin, A Tiulpin, AA Shvets

27. General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation

- L Nanni, S Brahnam, S Ghidoni, G Maguolo

28. Data augmentation from RGB to chlorophyll fluorescence imaging Application to leaf segmentation of Arabidopsis thaliana from top view images

- N Sapoukhina, S Samiei, P Rasti

29. Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoder framework and chest CT

- Y Feng, S Liu, Z Cheng, J Quiroz, P Chen, Q Lin

30. Easyaug: An automatic textual data augmentation platform for classification tasks

- S Qiu, B Xu, J Zhang, Y Wang, X Shen

31. Pneumothorax segmentation with effective conditioned Post-Processing in chest X-Ray

- V Groza, A Kuzin

32. A framework for knowing who is doing what in aerial surveillance videos

- F Yang, S Sakti, Y Wu, S Nakamura

33. Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences

- G Camps-Valls, D Tuia, XX Zhu, M Reichstein

34. The inclusive images competition

- J Atwood, Y Halpern, P Baljekar, E Breck

35. Moiré pattern removal via attentive fractal network

- D Xu, Y Chu, Q Sun

36. Image-based high-throughput detection and phenotype evaluation method for multiple lettuce varieties

- J Du, X Lu, J Fan, Y Qin, X Yang

37. Identifying melanoma images using efficientnet ensemble: Winning solution to the siim-isic melanoma classification challenge

- Q Ha, B Liu, F Liu

38. Bayesian feature pyramid networks for automatic multi-label segmentation of chest X-rays and assessment of cardio-thoratic ratio

- R Solovyev, I Melekhov, T Lesonen

39. The effects of augmented training dataset on performance of convolutional neural networks in face recognition system

- MA Kutlugün, Y Sirin

40. Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

- LO Teixeira, RM Pereira, D Bertolini, LS Oliveira

41. Road segmentation using u-net architecture

- NYQ Abderrahim, S Abderrahim

42. Ensemble size classification in Colombian Andean string music recordings

- S Grollmisch, E Cano, FM Ángel

43. Learning accurate dense correspondences and when to trust them

- P Truong, M Danelljan, L Van Gool

44. Semantic segmentation of smartphone wound images: Comparative analysis of AHRF and CNN-based approaches

- A Wagh, S Jain, A Mukherjee, E Agu

45. Real-time tracking of guidewire robot tips using deep convolutional neural networks on successive localized frames

- I Ullah, P Chikontwe, SH Park

46. Daugnet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images

- O Tasar, A Giros, Y Tarabalka, P Alliez

47. Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation

- H Qiu, Y Zeng, S Guo, T Zhang, M Qiu

48. Accurate and efficient intracranial hemorrhage detection and subtype classification in 3D CT scans with convolutional and long short-term memory neural networks

- M Burduja, RT Ionescu, N Verga

49. A load frame for in situ tomography at PETRA III

- J Moosmann, DCF Wieland

50. Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images

- H Wieslander, PJ Harrison, G Skogberg

51. Road damage detection and classification with detectron2 and faster r-cnn

- V Pham, C Pham, T Dang

52. Image Stylization for Robust Features

- I Melekhov, GJ Brostow, J Kannala

53. Weighted ensemble object detection with optimized coefficients for remote sensing images

- A Körez, N Barışçı, A Çetin, U Ergün

54. Benchmark for generic product detection: a low data baseline for dense object detection

- S Varadarajan, S Kant, MM Srivastava

55. The impact of padding on image classification by using pre-trained convolutional neural networks

- H Tang, A Ortis, S Battiato

56. Deep Depth From Aberration Map

- M Kashiwagi, N Mishima

57. A novel approach to data augmentation for pavement distress segmentation

- D Mazzini, P Napoletano, F Piccoli, R Schettini

58. Retinopathy diagnosis using semi-supervised multi-channel generative adversarial network

- Y Xie, Q Wan, G Chen, Y Xu, B Lei

59. A weak supervision machine vision detection method based on artificial defect simulation

- C Li, Y Huang, H Li, X Zhang

60. Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas

- N Zioulis, F Alvarez, D Zarpalas, P Daras

61. Adapting Convolutional Neural Networks for Geographical Domain Shift

- P Ostyakov, SI Nikolenko

62. An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset

- F Fourati, W Souidene, R Attia

63. Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms

- V Guryanova

64. Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment

- F Maleki, N Muthukrishnan, K Ovens

65. An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers

- B Liebl, M Burghardt

66. Segmentation of the Left Ventricle on EchoCG Images Using MultiResUnet

- A Sheka, V Samun, T Chumarnaya

67. Benchmark for generic product detection: a strong baseline for dense object detection

- S Varadarajan, S Kant, MM Srivastava

68. Deep learning for retail product recognition: Challenges and techniques

- Y Wei, S Tran, S Xu, B Kang, M Springer

69. Use of images augmentation and implementation of doubly stochastic models for improving accuracy of recognition algorithms based on convolutional neural …

- VE Dementyiev, NA Andriyanov

70. Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision

- S Mandelli, N Bonettini, P Bestagini

71. A modular region and text line layout analysis system

- B Kiessling

72. DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection

- FS Herrera, JM Saavedra

73. A Deep learning approach to Hazard detection for Autonomous Lunar landing

- R Moghe, R Zanetti

74. An Efficient Solution for Semantic Segmentation of Three Ground‐based Cloud Datasets

- Q Song, Z Cui, P Liu

75. A flatter loss for bias mitigation in cross-dataset facial age estimation

- A Akbari, M Awais, Z Feng, A Farooq

76. Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

- S Klein, A Quaas, J Quantius, H Löser, J Meinel

77. MixChannel: Advanced Augmentation for Multispectral Satellite Images

- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev

78. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery Using Deep Learning Techniques

- O Baghirli, I Ibrahimli, T Mammadzada

79. Method for Whale Re-identification Based on Siamese Nets and Adversarial Training

- W Wang, RA Solovyev, AL Stempkovsky

80. Multi-class brain tumor segmentation via multi-sequences mri mixture data preprocessing

- A Letyagin, S Golushko, M Amelin

81. Speech driven talking face generation from a single image and an emotion condition

- SE Eskimez, Y Zhang, Z Duan

82. DCNN-based Screw Classification in Automated Disassembly Processes.

- E Yildiz, F Wörgötter

83. Semi-automatic Manga Colorization Using Conditional Adversarial Networks.

- M Golyadkin, I Makarov

84. Segmentation model of the opacity regions in the chest X-rays of the Covid-19 patients in the us rural areas and the application to the disease severity

- H Tang, N Sun, Y Li

85. Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays

- C Dasanayaka, MB Dissanayake

86. Arrow R-CNN for handwritten diagram recognition

- B Schäfer, M Keuper, H Stuckenschmidt

87. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

- A Signoroni, M Savardi, S Benini, N Adami

88. Estimating displaced populations from overhead

- A Hadzic, G Christie, J Freeman

89. A method for automatic tracking of cell nuclei with weakly-supervised mitosis detection in 2D microscopy image sequences

- AY Kondratiev, H Yaginuma, Y Okada

90. Landslide segmentation with u-net: Evaluating different sampling methods and patch sizes

- LP Soares, HC Dias, CH Grohmann

91. Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images

- G Pavoni, M Corsini, N Pedersen, V Petrovic

92. Automatic sorting of Dwarf Minke Whale underwater images

- DA Konovalov, N Swinhoe, DB Efremova, RA Birtles

93. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

- V Groza, B Tuchinov, E Pavlovskiy

94. Physical Cue based Depth-Sensing by Color Coding with Deaberration Network

- N Mishima, T Kozakaya, A Moriya, R Okada

95. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets

- Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong

96. CRNNs for Urban Sound Tagging with spatiotemporal context

- A Arnault, N Riche

97. DivergentNets: Medical Image Segmentation by Network Ensemble

- V Thambawita, SA Hicks, P Halvorsen

98. Convolutional Neural Network for Drowsiness Detection Using EEG Signals

- S Chaabene, B Bouaziz, A Boudaya, A Hökelmann

99. How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?

- S Koehler, A Tandon, T Hussain

100. MaskHunter: real-time object detection of face masks during the COVID-19 pandemic

- Z Cao, M Shao, L Xu, S Mu, H Qu

101. Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network.

- H Chen, C Lian, L Wang

102. Flood detection with sentinel-2 satellite images in crisis management systems

- A Moumtzidou, M Bakratsas, S Andreadis

103. Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster

- S Back, S Lee, S Shin, Y Yu, T Yuk, S Jong

104. Exploring 2D data augmentation for 3D monocular object detection

- K Santhakumar, BR Kiran, T Gauthier

105. AGUnet: Annotation-guided U-net for fast one-shot video object segmentation

- Y Yin, D Xu, X Wang, L Zhang

106. Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation

- S Illarionova, S Nesteruk, D Shadrin, V Ignatiev

107. Safe augmentation: Learning task-specific transformations from data

- I Baran, O Kupyn, A Kravchenko

108. IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation

- Y Xie, L Xing, W Peng, Y Hu

109. Contextual pyramid attention network for building segmentation in aerial imagery

- C Sebastian, R Imbriaco, E Bondarev

110. A Two-Stream Context-Aware ConvNet for Pavement Distress Detection

- R Lõuk, A Tepljakov, A Riid

111. Augmentation-based object detection for winter time applications

- R Yagfarov, V Ostankovich

112. Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning

- MN Rizve, S Khan, FS Khan

113. When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection

- E Wetzer, J Gay, H Harlin, J Lindblad

114. Urban Sound Classification: striving towards a fair comparison

- A Arnault, B Hanssens, N Riche

115. Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images

- I Trimeche, F Rossant, I Bloch

116. A U-Net Based Approach for Automating Tribological Experiments

- B Staar, S Bayrak, D Paulkowski, M Freitag

117. Understanding the decisions of CNNs: An in-model approach

- I Rio-Torto, K Fernandes, LF Teixeira

118. Проблемы детектирования объекта на изображении в задачах глубокого обучения в области компьютерного зрения на основе свёрточных …

- СВ Кравченко, АВ Алексеев, ЮА Орлова

119. Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering

- A Riabi, T Scialom, R Keraron, B Sagot

120. A review of medical image data augmentation techniques for deep learning applications

- P Chlap, H Min, N Vandenberg

121. Artificial Intelligence based identification of Total Knee Arthroplasty Implants

- S Ghose, S Datta, V Batta, C Malathy

122. On-line hazard detection algorithm for precision lunar landing using semantic segmentation

- R Moghe, R Zanetti

123. Multimodal Approach for DeepFake Detection

- M Lomnitz, Z Hampel-Arias

124. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

- Q Liu, M Kampffmeyer, R Jenssen

125. A CNN-based length-aware cascade road damage detection approach

- H Xu, B Chen, J Qin

126. A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography

- Y Tian, S Xu, L Guo, F Cong

127. Deep Learning object detection architectures in ADAS

- UO Etxabe, AG Basauri

128. Digital Peter: Dataset, Competition and Handwriting Recognition Methods

- M Potanin, D Dimitrov, A Shonenkov, V Bataev

129. 残差密集相对平均 CGAN 的脑部图像配准

- 王丽芳，张程程，秦品乐，蔺素珍，高媛，窦杰亮

130. DBA_SSD: A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection

- J Wang, J Yang, L Yu, H Dong, K Yun, Y Wang

131. Efficient Palm-Line Segmentation with U-Net Context Fusion Module

- TP Van, ST Nguyen, LB Doan, NN Tran

132. Deep-learning based segmentation of challenging myelin sheaths

- T Le Couedic, R Caillon, F Rossant

133. Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task

- S Ito, S Kubota

134. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning

- A Martínez Mora

135. Neural Mesh Refiner for 6-DoF Pose Estimation

- D Wu, Y Chen, X Qi, Y Yu, W Chen, R Xiao

136. Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets

- M Ryabinin, A Malinin, M Gales

137. Classification and understanding of cloud structures via satellite images with EfficientUNet

- T Ahmed, NHN Sabab

138. New Stochastic Gradient Descent Algorithm via Lagrange-type 1-step-ahead Numerical Differentiation

- W Luo, M Lin, L Chen, B Peng

139. Automatinė aerofotografinių nuotraukų analizė taikant giliojo mokymosi metodus

- V Vyšniauskas

140. Geometric Computer Vision Techniques for Scene Reconstruction

- E Riba Pi

141. Improving deep learning sorghum head detection through test time augmentation

- C Gonzalo-Martín, A García-Pedrero

142. The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks

- N Andriyanov, V Dementev

143. Deepfake Detection Scheme Based on Vision Transformer and Distillation

- YJ Heo, YJ Choi, YW Lee, BG Kim

144. ИСПОЛЬЗОВАНИЕ АУГМЕНТАЦИИ ИЗОБРАЖЕНИЙ И РЕАЛИЗАЦИЯ ДВАЖДЫ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ …

- ВЕ Дементьев, НА Андриянов

145. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks

- S Koehler, T Hussain, Z Blair, T Huffaker

146. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge

- Y Gu, Y Pan, S Chen

147. A Battery-Powered Friend: Towards Embedded Emotion Recognition

- P Shved

148. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων

- Α Κωστόπουλος

149. Automatic fault mapping in remote optical images and topographic data with deep learning

- L Mattéo, I Manighetti, Y Tarabalka, J Gaucel

150. Analysis of medical images using deep learning

- A Utegulov

151. Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models

- B Schäfer, H van der Aa, H Leopold

152. Image2SMILES: Transformer-based Molecular Optical Recognition Engine

- I Khokhlov, L Krasnov, M Fedorov, S Sosnin

153. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review

- B Zhou, X Yang, T Liu

154. Embedded real-time inference in spiking neural networks for neuromorphic IoT vision sensors

- J Verecken, D Bol, C De Vleeschouwer

155. Obstacle Detection for BVLOS Drones

- JM Esteban

156. Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery

- C Yaris, B Huang, K Bradbury, JM Malof

157. SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation

- V Thambawita, P Salehi, SA Sheshkal, SA Hicks

158. Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2

- K Isaienkov, M Yushchuk, V Khramtsov

159. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation

- N Tolstokulakov, E Pavlovskiy

160. Densely Connected Feature Pyramid Network for Image Segmentation

- Y Jia, J Tan, Y Xing, P Hong

161. Feature-based image registration in structured light endoscopy

- AM Kist, J Zilker, M Döllinger

162. Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local …

- N Marini, S Otálora, H Müller, M Atzori

163. Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing

- M Groh, Z Epstein, C Firestone, R Picard

164. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line

- N Yavari

165. Extracting text from scanned Arabic books: a large-scale benchmark dataset and a fine-tuned Faster-R-CNN model

- R Elanwar, W Qin, M Betke, D Wijaya

166. SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation

- D Lacalle, HA Castro-Abril, T Randelovic

167. Principled Ultrasound Data Augmentation for Classification of Standard Planes

- LH Lee, Y Gao, JA Noble

168. Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition

- B Huang

169. Video and Sensor-Based Rope Pulling Detection in Sport Climbing

- I Ivanova, M Andrić, S Moaveninejad, A Janes

170. Differentiable data augmentation with Kornia

- J Shi, E Riba, D Mishkin, F Moreno

171. 1st Place Solutions for UG2+ Challenge 2021--(Semi-) supervised Face detection in the low light condition

- P Wang, L Ji, Z Ji, Y Gao, X Liu

172. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks

- S Khaleghian, H Ullah, T Kræmer, N Hughes, T Eltoft

173. Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels

- J Hobbs, V Khachatryan, BS Anandan

174. Multi-view automated chest radiography interpretation

- P Jansson

175. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System

- AS Kashin, DA Boiko, VP Ananikov

176. Refinement Network for unsupervised on the scene Foreground Segmentation

- M Pardas, G Canet

177. Social Distancing Detection and Analysis through Computer Vision

- S Madane, D Chitre

178. 车载探地雷达地下目标实时探测法

- 杨必胜，宗泽亮，陈驰，孙文鹿，米晓新，吴唯同

179. Detecting Slag Formation with Deep Learning Methods: An experimental study of different deep learning image segmentation models

- C von Koch, W Anzén

180. Multi-Label Contrastive Learning for Abstract Visual Reasoning

- M Małkiński, J Mańdziuk

181. Estudio de algoritmos de redes neuronales convolucionales en dataset de imágenes médicas

- A Ferreras Extremo

182. Deep local directional embeddings para detección de objetos

- FE Souto Herrera

183. Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach

- A Alahyari, A Hinneck

184. A Deep Learning Approach for Complex Microstructure Inference

- A Durmaz, M Müller, B Lei, A Thomas, D Britz, E Holm

185. FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks

- J Bae, J Lee, Y Jin, S Son, S Kim, H Jang

186. Programmer Sought

- X Yibin

187. Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation

- L Sharan, G Romano, S Koehler, H Kelm

188. Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images

- AK Jaiswal, P Tiwari, S Kumar, MS Al-Rakhami

189. Disease detection in rice leaves using transfer learning techniques

- G Kathiresan, M Anirudh, M Nagharjun

190. Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction

- N Andriyanov

191. Multi-level dilated residual network for biomedical image segmentation

- NR Gudhe, H Behravan, M Sudah, H Okuma

192. TauMed: test augmentation of deep learning in medical diagnosis

- Y Hou, J Liu, D Wang, J He, C Fang

193. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης

- Θ Κασσιώτης

194. Few-shot learning with a novel Voronoi tessellation-based image augmentation method for facial palsy detection

- OO Abayomi-Alli, R Damaševičius, R Maskeliūnas

195. Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision

- S Poudel, SW Lee

196. Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning

- F Fourati, WS Mseddi, R Attia

197. Super-Resolution: 2. Machine Learning-Based Approach

- AS Chernyavskiy

198. Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives

- YH Tee, WJ Goh, X Yong, HT Ong, J Hu, IYY Tay, S Shi

199. Semantic Correspondence with Transformers

- S Cho, S Hong, S Jeon, Y Lee, K Sohn

200. Dermoscopic attributes classification using deep learning and multi-task learning

- I Saitov, T Polevaya, A Filchenkov

201. Wisdom Of The Crowd For Early Detection In Barrett's Esophagus

- J Law, TG Paulson, CA Sanchez

202. Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters

- D Joshi, V Mishra, H Srivastav, D Goel

203. A Robust System to Detect and Explain Public Mask Wearing Behavior

- A Gupta, B Srivastava

204. Waste detection in Pomerania: non-profit project for detecting waste in environment

- S Majchrowska, A Mikołajczyk, M Ferlin

205. CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning

- S Hemati, S Kalra, C Meaney, M Babaie

206. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e conjunto

- FVM Perez

207. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition

- C Duan, T Zhang

208. Data Augmentations for Document Images.

- Y Lee, T Hong, S Kim

209. The Role of Data for One-Shot Semantic Segmentation

- T Luddecke, A Ecker

210. EVALUATION OF DATA AUGMENTATION FOR GAN WITH LIMITED HISTOLOGICAL DATASETS

- R HAMDI, C BOUVIER, T DELZESCAUX

211. Semi-Supervised Learning for Cervical Precancer Detection

- S Angara, P Guo, Z Xue, S Antani

212. DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu

213. Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business

- J Mizgajski, A Szymczak, M Morzy

214. End-to-end privacy preserving deep learning on multi-institutional medical imaging

- G Kaissis, A Ziller, J Passerat-Palmbach

215. Fiscal classification using convolutional neural network

- N Bindal, R Modi, BK Kaushik

216. A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities

- Y Cao, X Huang

217. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation

- A Babolhavaeji, M Fanaei

218. Application of shared backbone DNNs in ADAS perception systems

- MG Lobanov, DL Sholomov

219. 机器视觉应用中的图像数据增广综述

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