Albumentations

List of papers that cite Albumentations

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

- X He, K Zhao, X Chu

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

- AA Shvets, A Rakhlin, AA Kalinin

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

- O Kupyn, T Martyniuk, J Wu

4. Angiodysplasia detection and localization using deep convolutional neural networks

- AA Shvets, VI Iglovikov, A Rakhlin

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

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

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

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

7. End-to-end learning for semiquantitative rating of covid-19 severity on chest x-rays

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

8. Deep convolutions for in-depth automated rock typing

- EE Baraboshkin, LS Ismailova, DM Orlov

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

- SM Hasan, CA Linte

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

- Y Babakhin, A Sanakoyeu, H Kitamura

11. Video face manipulation detection through ensemble of cnns

- N Bonettini, ED Cannas, S Mandelli, L Bondi

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

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

13. Automatic salt deposits segmentation: A deep learning approach

- M Karchevskiy, I Ashrapov, L Kozinkin

14. COVID-19 prediction and detection using deep learning

- M Alazab, A Awajan, A Mesleh, A Abraham

15. Camera model identification using convolutional neural networks

- A Kuzin, A Fattakhov, I Kibardin

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

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

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

- Á Casado-García, C Domínguez

18. Urban sound tagging using convolutional neural networks

- S Adapa

19. 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

20. Breast tumor cellularity assessment using deep neural networks

- A Rakhlin, A Tiulpin, AA Shvets

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

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

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

- SMK Hasan, CA Linte

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

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

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

- Q Liu, M Kampffmeyer, R Jenssen

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

- O Tasar, Y Tarabalka, A Giros

26. 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

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

- MA Kutlugün, Y Sirin

28. The Inclusive Images Competition

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

29. Moiré pattern removal via attentive fractal network

- D Xu, Y Chu, Q Sun

30. 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

31. EasyAug: An automatic textual data augmentation platform for classification tasks

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

32. ImageNet Pre-trained CNNs for JPEG Steganalysis

- Y Yousfi, J Butora, E Khvedchenya

33. Pneumothorax Segmentation with Effective Conditioned Post-Processing in Chest X-Ray

- V GROZA, A KUZIN

34. Adapting Convolutional Neural Networks for Geographical Domain Shift

- P Ostyakov, SI Nikolenko

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

- V Guryanova

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

- H Wieslander, PJ Harrison, G Skogberg

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

- Q Ha, B Liu, F Liu

38. Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images

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

39. The Impact of Padding on Image Classification by Using Pre-trained Convolutional Neural Networks

- H Tang, A Ortis, S Battiato

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

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

41. 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

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

- I Ullah, P Chikontwe, SH Park

43. 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

44. Deep Depth From Aberration Map

- M Kashiwagi, N Mishima

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

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

46. Monitoring sugar crystallization with deep neural networks

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

47. 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

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

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

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

- W Wang, RA Solovyev, AL Stempkovsky

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

- A Letyagin, S Golushko, M Amelin

51. Road Segmentation using U-Net architecture

- NYQ Abderrahim, S Abderrahim

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

- J Moosmann, DCF Wieland

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

- C Dasanayaka, MB Dissanayake

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

- A Sheka, V Samun, T Chumarnaya

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

- S Varadarajan, S Kant, MM Srivastava

56. Road Damage Detection and Classification with Detectron2 and Faster R-CNN

- V Pham, C Pham, T Dang

57. Automatic sorting of dwarf Minke whale underwater images

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

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

- V Groza, B Tuchinov, E Pavlovskiy, E Amelina

59. CRNNs for Urban Sound Tagging with spatiotemporal context

- A Arnault, N Riche

60. Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media

- B Zhang, JP Zhou, I Shumailov, N Papernot

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

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

62. Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection

- S Varadarajan, S Kant, MM Srivastava

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

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

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

- H Chen, C Lian, L Wang

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

- S Mandelli, N Bonettini, P Bestagini

66. A modular region and text line layout analysis system

- B Kiessling

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

- FS Herrera, JM Saavedra

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

- Q Song, Z Cui, P Liu

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

- I Baran, O Kupyn, A Kravchenko

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

- R Lõuk, A Tepljakov, A Riid

71. Augmentation-based object detection for winter time applications

- R Yagfarov, V Ostankovich

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

- MN Rizve, S Khan, FS Khan, M Shah

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

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

74. Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural …

- M Burduja, RT Ionescu, N Verga

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

- I Trimeche, F Rossant, I Bloch

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

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

77. Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques

- O Baghirli, I Ibrahimli, T Mammadzada

78. Artificial Intelligence based identification of Total Knee Arthroplasty Implants

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

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

- R Moghe, R Zanetti

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

- H Xu, B Chen, J Qin

81. Deep Learning object detection architectures in ADAS

- UO Etxabe, AG Basauri

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

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

83. 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

84. 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

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

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

86. Deep-learning based segmentation of challenging myelin sheaths

- T Le Couedic, R Caillon, F Rossant

87. Automatic Extraction of Liver Region from Medical Images by Using an MFUnet

- VTT Vi, AR Oh, GS Lee, HJ Yang, SH Kim

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

- S Ito, S Kubota

89. Neural Mesh Refiner for 6-DoF Pose Estimation

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

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

- T Ahmed, NHN Sabab

91. Speech Driven Talking Face Generation from a Single Image and an Emotion Condition

- SE Eskimez, Y Zhang, Z Duan

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

- N Andriyanov, V Dementev

93. Deepfake Detection Scheme Based on Vision Transformer and Distillation

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

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

- ВЕ Дементьев, НА Андриянов

95. 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

96. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge

- Y Gu, Y Pan, S Chen

97. Unsupervised Domain Adaptation from Axial toShort-Axis Multi-Slice Cardiac MR Images byIncorporating Pretrained Task Networks

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

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

- P Shved

99. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων

- Α Κωστόπουλος

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

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

101. Analysis of medical images using deep learning

- A Utegulov

102. 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

103. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review

- B Zhou, X Yang, T Liu

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

- J Verecken, D Bol, C De Vleeschouwer

105. 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

106. End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales

- Y Bai, H Sezen, A Yilmaz

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

- K Isaienkov, M Yushchuk, V Khramtsov

108. Arrow R-CNN for handwritten diagram recognition

- B Schäfer, M Keuper, H Stuckenschmidt

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

- N Tolstokulakov, E Pavlovskiy

110. Feature-based image registration in structured light endoscopy

- AM Kist, J Zilker, M Döllinger, M Semmler

111. DCNN-based Screw Classification in Automated Disassembly Processes

- E Yildiz, F Wörgötter

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

- N Yavari

113. BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset

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

114. Principled Ultrasound Data Augmentation for Classification of Standard Planes

- LH Lee, Y Gao, JA Noble

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

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

116. Differentiable Data Augmentation with Kornia

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

117. Estimating Displaced Populations from Overhead

- A Hadzic, G Christie, J Freeman, A Dismer

118. Refinement network for unsupervised on the scene foreground segmentation

- M Pardàs Feliu, G Canet Tarrés

119. Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment

- F Maleki, N Muthukrishnan, K Ovens

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

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

121. Learning Accurate Dense Correspondences and When to Trust Them

- P Truong, M Danelljan, L Van Gool

122. 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

123. Multi-Label Contrastive Learning for Abstract Visual Reasoning

- M Małkiński, J Mańdziuk

124. Deep local directional embeddings para detección de objetos

- FE Souto Herrera

125. A Method for Automatic Tracking of Cell Nuclei With Weakly-Supervised Mitosis Detection in 2D Microscopy Image Sequences

- AY Kondratiev, H Yaginuma, Y Okada

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

- A Alahyari, A Hinneck, R Tariverdi, D Pozo

127. A Deep Learning Approach for Complex Microstructure Inference

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

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

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

129. Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes

- LP Soares, HC Dias, CH Grohmann

130. Application of shared backbone DNNs in ADAS perception systems

- MG Lobanov, DL Sholomov

131. Variational Beam Search for Novelty Detection

- A Li, A Boyd, P Smyth, S Mandt

132. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης

- Θ Κασσιώτης

133. Few-Shot Learning with a Novel Voronoi Tessellation-Based Image Augmentation Method for Facial Palsy Detection

- OO Abayomi-Alli, R Damaševičius, R Maskeliūnas

134. 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

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

- I Saitov, T Polevaya, A Filchenkov

136. Image Stylization for Robust Features

- I Melekhov, GJ Brostow, J Kannala

137. Training robust deep learning models for medical imaging tasks with spectral decoupling

- J Pohjonen, C Stürenberg, A Rannikko, T Mirtti

138. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts

- T Nickchen, S Heindorf

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

- A Gupta, B Srivastava

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

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

141. A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation

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

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

- FVM Perez

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

- C Duan, T Zhang

144. Data Augmentations for Document Images

- Y Lee, T Hong, S Kim

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

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

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

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

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

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

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

- J Mizgajski, A Szymczak, M Morzy

149. Deep learning for retail product recognition: challenges and techniques

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

150. Fiscal classification using convolutional neural network

- N Bindal, R Modi, BK Kaushik

151. 机器视觉应用中的图像数据增广综述

- 林成创，单纯，赵淦森

152. CASS Studies

- HEB CASS

153. Cloud Recognition and Masking of Earth Observation Imagery-An Optimized approach for Automatic Labeling of Sentinel-2 Imagery for Object Detection

- LM Ellefsen

154. Convolutional Neural Network for Drowsiness Detection Using EEG Signals

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

155. 3D Convolutional Neural Networks for Stalled Brain Capillary Detection

- R Solovyev, AA Kalinin, T Gabruseva

156. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble

- FVM Perez

157. Fiche de confidentialité et de diffusion du mémoire

- O Non

158. Deepfake detection using capsule networks with long short-term memory networks

- A Mehra

159. Warp Consistency for Unsupervised Learning of Dense Correspondences

- P Truong, M Danelljan, F Yu, L Van Gool

160. О важности аугментации данных при машинном обучении в задачах обработки изображений в условиях дефицита данных

- НА Андриянов, ДА Андриянов

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

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

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

- A Martínez Mora

163. Danish Fungi 2020--Not Just Another Image Recognition Dataset

- L Picek, M Šulc, J Matas, J Heilmann-Clausen

164. SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation

- Q Liu, M Kampffmeyer, R Jenssen

165. Underwater Object Detection With Mixed Attention Mechanism And Multi-Enhancement Strategy

- W Chen, B Fan

166. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches WPI Technical Report WPI-CS-TR-19-02

- A Wagh

167. Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

- U Otamendi, I Martinez, M Quartulli, IG Olaizola, E Viles

168. Generative augmentation to improve lung nodules detection in resource-limited settings

- NF Gusarova, AA Lobantsev, AS Vatian

169. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors

- AY Wagh

170. Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

- I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park

171. Side-Scan Sonar Image Synthesis Based on Generative Adversarial Network for Images in Multiple Frequencies

- Y Jiang, B Ku, W Kim, H Ko

172. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images

- Y Xu, HK Lam, G Jia

173. Targeting the zebrafish eye using deep learning-based image segmentation

- J Holmberg

174. Seismic Interpretation of Partially Labeled 3D Cube with Neural Networks

- A Zhuchkov, D Prokhorov, V Gusev

175. 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

176. Classification of Chest X-ray Images Using Machine Learning Techniques

- A Ahmed, G Tharwat, B Bouallegue, M Khattab

177. Deep Learning-based Object Understanding for Robotic Manipulation

- JS Moon, HJ Jo, JB Song

178. Use of Images Augmentation and Implementation of Doubly Stochastic Models for Improving Accuracy of Recognition Algorithms Based on Convolutional Neural …

- VE Dementyiev, NA Andriyanov

179. Autonomous Mobile Robot for Apple Plant Disease Detection based on CNN and Multi-Spectral Vision System

- P Karpyshev, V Ilin, I Kalinov

180. Encoder-Recurrent Decoder Network for Single Image Dehazing

- A Dang, TH Vu, JC Wang

181. Application of neural networks to image recognition of wheat rust diseases

- M Genaev, S Ekaterina

182. 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sens. 2021, 13, 729

- PJ Navarro, L Miller, A Gila-Navarro, MV Díaz-Galián

183. Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]

- A Kozlov

184. NoGAN: Deblurring Images without Adversarial Training

- R Vei

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

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

186. Semi-automatic Manga Colorization Using Conditional Adversarial Networks

- M Golyadkin, I Makarov

187. SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS

- K Vishnyakov, M Organokov

188. Exploitation of data augmentation strategies for improved UAV detection

- L Freudenmann, L Sommer

189. GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling for One-Hot Encoded Data

- M Scott, J Plested

190. 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

191. Simulation to reality: Study and demonstration of domain adaptation techniques applied to Reinforcement and Supervised learning algorithms

- P Miralles Roure

192. Exploring 2D Data Augmentation for 3D Monocular Object Detection

- K Santhakumar, BR Kiran, T Gauthier

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

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

194. CrackWeb: A modified U-Net based segmentation architecture for crack detection

- S Ghosh, S Singh, A Maity

195. Detecting subsurface drainage pipes using a fully convolutional network with optical images

- H Song, DK Woo, Q Yan

196. Comparison of neural network architectures for segmentation of the left ventricle on EchoCG images

- VS Samun, AS Sheka, TV Chumarnaya

197. MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

- P Gómez, G Meoni

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

- R Moghe, R Zanetti

199. Using deep learning for food recognition

- L Zhu

200. Rubik's Cube layout construction and validation algorithm

- B Borkivskyi

201. Annotation quality vs. quantity for deep-learned medical image segmentation

- T Wesemeyer, ML Jauer

202. On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation

- B Liebl, M Burghardt

203. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics

- A Kalinin

204. Técnicas de aumento de datos para imágenes aéreas y evaluación de rendimiento en modelos de deep learning

- CCG Sarasa, JDO Pabón

205. Ring artifacts segmentation on microtomographic images by convolutional neural networks

- A Kornilov, I Safonov

206. DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images

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

207. 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

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

- D Lacalle, HA Castro-Abril, T Randelovic

209. Variational Beam Search for Online Learning with Distribution Shifts

- A Li, A Boyd, P Smyth, S Mandt

210. Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery

- C Sebastian, R Imbriaco, E Bondarev

211. HISTOPATHOLOGY LEARNING DATASET AUGMENTATION: A HYBRID APPROACH

- R HAMDI, C Bouvier, T Delzescaux, C Clouchoux

212. Refinement Network for unsupervised on the scene Foreground Segmentation

- M Pardàs, G Canet

213. Automatic lesion boundary detection in dermoscopy

- G Kechyn

214. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection

- L Bondi, ED Cannas, P Bestagini, S Tubaro

215. Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis

- YG Kim, K Kim, D Wu, H Ren, WY Tak, SY Park

216. Urban Sound Classification: striving towards a fair comparison

- A Arnault, B Hanssens, N Riche

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