Albumentations

List of papers that cite Albumentations

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

- AA Shvets, A Rakhlin, AA Kalinin

2. Angiodysplasia detection and localization using deep convolutional neural networks

- AA Shvets, VI Iglovikov, A Rakhlin

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

- O Kupyn, T Martyniuk, J Wu

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

- X He, K Zhao, X Chu

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

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

6. Camera model identification using convolutional neural networks

- A Kuzin, A Fattakhov, I Kibardin

7. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

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

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

- SM Hasan, CA Linte

9. Deep convolutions for in-depth automated rock typing

- EE Baraboshkin, LS Ismailova, DM Orlov

10. Automatic salt deposits segmentation: A deep learning approach

- M Karchevskiy, I Ashrapov, L Kozinkin

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

- Y Babakhin, A Sanakoyeu, H Kitamura

12. Breast tumor cellularity assessment using deep neural networks

- A Rakhlin, A Tiulpin, AA Shvets

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

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

14. COVID-19 prediction and detection using deep learning

- M Alazab, A Awajan, A Mesleh

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

- Á Casado-García, C Domínguez

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

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

17. 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

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

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

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

- SMK Hasan, CA Linte

20. Moiré pattern removal via attentive fractal network

- D Xu, Y Chu, Q Sun

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

- I Ullah, P Chikontwe, SH Park

22. Road Segmentation using U-Net architecture

- NYQ Abderrahim, S Abderrahim

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

- J Moosmann, DCF Wieland

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

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

25. Adapting Convolutional Neural Networks for Geographical Domain Shift

- P Ostyakov, SI Nikolenko

26. Dense Dilated Convolutions' Merging Network for Land Cover Classification

- Q Liu, M Kampffmeyer, R Jenssen

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

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

28. StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization

- O Tasar, Y Tarabalka, A Giros

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

- H Tang, A Ortis, S Battiato

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

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

32. 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

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

- I Baran, O Kupyn, A Kravchenko

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

- R Lõuk, A Tepljakov, A Riid

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

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

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

- I Trimeche, F Rossant, I Bloch

37. The Effects of Augmented Training Dataset on Performance of Convolutional Neural Networks in Face Recognition System

- MA Kutlugün, Y Sirin

38. 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

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

- O Baghirli, I Ibrahimli, T Mammadzada

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

- R Moghe, R Zanetti

41. Deep Learning object detection architectures in ADAS

- UO Etxabe, AG Basauri

42. Video Face Manipulation Detection Through Ensemble of CNNs

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

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

- V GROZA, A KUZIN

44. Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network

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

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

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

46. Deep-learning based segmentation of challenging myelin sheaths

- T Le Couedic, A Joutel, R Caillon

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

- W Wang, RA Solovyev, AL Stempkovsky

48. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

- A Letyagin, S Golushko, M Amelin

49. Neural Mesh Refiner for 6-DoF Pose Estimation

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

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

- T Ahmed, NHN Sabab

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

- SE Eskimez, Y Zhang, Z Duan

52. 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge

- Y Gu, Y Pan, S Chen

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

- P Shved

54. Analysis of medical images using deep learning

- A Utegulov

55. 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

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

- V Guryanova

57. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review

- B Zhou, X Yang, T Liu

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

- J Verecken, D Bol, C De Vleeschouwer

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

- N Tolstokulakov, E Pavlovskiy

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

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

61. Estimating Displaced Populations from Overhead

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

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

- F Maleki, N Muthukrishnan, K Ovens

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

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

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

- C Dasanayaka, MB Dissanayake

65. 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

66. Deep local directional embeddings para detección de objetos

- FE Souto Herrera

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

- AY Kondratiev, H Yaginuma, Y Okada

68. 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

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

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

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

- LP Soares, HC Dias, CH Grohmann

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

- A Sheka, V Samun, T Chumarnaya

72. Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection

- S Varadarajan, S Kant, MM Srivastava

73. The Inclusive Images Competition

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

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

- S Koehler, A Tandon, T Hussain, H Latus

75. Image Stylization for Robust Features

- I Melekhov, GJ Brostow, J Kannala

76. Automatic Sorting of Dwarf Minke Whale Underwater Images

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

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

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

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

- FVM Perez

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

- C Duan, T Zhang

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

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

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

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

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

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

83. CRNNs for Urban Sound Tagging with spatiotemporal context

- A Arnault, N Riche

84. Fiscal classification using convolutional neural network

- N Bindal, R Modi, BK Kaushik

85. CASS Studies

- HEB CASS

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

- LM Ellefsen

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

- FVM Perez

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

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

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

- A Mehra

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

- НА Андриянов, ДА Андриянов

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

- AM MORA

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

- Q Liu, M Kampffmeyer, R Jenssen

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

- A Wagh

94. Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge

- Q Ha, B Liu, F Liu

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

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

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

- AY Wagh

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

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

98. Urban Sound Tagging using Convolutional Neural Networks

- S Adapa

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

- A Zhuchkov, D Prokhorov, V Gusev

100. 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

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

- VE Dementyiev, NA Andriyanov

102. Encoder-Recurrent Decoder Network for Single Image Dehazing

- A Dang, TH Vu, JC Wang

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

- M Genaev, S Ekaterina

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

- A Kozlov

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

- H Chen, C Lian, L Wang

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

- S Mandelli, N Bonettini, P Bestagini

107. Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches

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

108. End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays

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

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

- M Scott, J Plested

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

- FS Herrera, JM Saavedra

111. A Deep Learning Approach to Hazard Detection for Autonomous Lunar Landing

- R Moghe, R Zanetti

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

- B Liebl, M Burghardt

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

- Q Song, Z Cui, P Liu

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

- A Kalinin

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

- CCG Sarasa, JDO Pabón

116. DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images

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

117. Deep Depth From Aberration Map

- M Kashiwagi, N Mishima

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

- C Sebastian, R Imbriaco, E Bondarev

119. A Novel Approach to Data Augmentation for Pavement Distress Segmentation

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

120. Augmentation-Based Object Detection for Winter Time Applications

- R Yagfarov, V Ostankovich

121. Refinement Network for unsupervised on the scene Foreground Segmentation

- M Pardas, G Canet

122. Automatic lesion boundary detection in dermoscopy

- G Kechyn

123. Visual Anomaly Detection For Automatic Quality Control

- F Piccoli

124. 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

125. When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection

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

126. 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

127. Understanding the decisions of CNNs: an in-model approach

- I Rio-Torto, K Fernandes, LÃF Teixeira

128. Automatic phantom test pattern classification through transfer learning with deep neural networks

- RB Fricks, J Solomon, E Samei

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

- СВ Кравченко, АВ Алексеев, ЮА Орлова

130. Monitoring sugar crystallization with deep neural networks

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

131. Flood detection with Sentinel-2 satellite images in crisis management systems

- A Moumtzidou, M Bakratsas, S Andreadis

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