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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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4
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Learning Deep Features for Discriminative Localization
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2016
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Bolei Zhou
Aditya Khosla
Àgata Lapedriza
Aude Oliva
Antonio Torralba
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3
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MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
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2021
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Dimitrios Kollias
Αναστάσιος Αρσένος
Levon Soukissian
Stefanos Kollias
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2
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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
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2019
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Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
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2
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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1
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
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2017
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Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming‐Ming Cheng
Yao Zhao
Shuicheng Yan
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1
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Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
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2017
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Zhe Wang
Yanxin Yin
Jianping Shi
Wei Fang
Hongsheng Li
Xiaogang Wang
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1
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Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
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2018
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Jonathan Rubin
Deepan Sanghavi
Claire Zhao
Kathy Lee
Ashequl Qadir
Minnan Xu-Wilson
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1
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Self-produced Guidance for Weakly-Supervised Object Localization
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2018
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Xiaolin Zhang
Yunchao Wei
Guoliang Kang
Yi Yang
Thomas Huang
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1
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UNet++: A Nested U-Net Architecture for Medical Image Segmentation
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2018
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Zongwei Zhou
Md Mahfuzur Rahman Siddiquee
Nima Tajbakhsh
Jianming Liang
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1
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Attention-Based Dropout Layer for Weakly Supervised Object Localization
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2019
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Junsuk Choe
Hyunjung Shim
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1
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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2016
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Fausto Milletarì
Nassir Navab
Seyed‐Ahmad Ahmadi
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1
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Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization
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2017
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Krishna Kumar Singh
Yong Jae Lee
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1
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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1
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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2017
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João Carreira
Andrew Zisserman
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1
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Adversarial Complementary Learning for Weakly Supervised Object Localization
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2018
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Xiaolin Zhang
Yunchao Wei
Jiashi Feng
Shuicheng Yan
Thomas S. Huang
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1
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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2018
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Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
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1
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Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
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2019
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Nan Wu
Jason Phang
Jungkyu Park
Yiqiu Shen
Zhe Huang
Masha Zorin
Stanisław Jastrzȩbski
Thibault Févry
Joe Katsnelson
Eric Kim
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1
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Expectation-Maximization Attention Networks for Semantic Segmentation
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2019
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Xia Li
Zhisheng Zhong
Jianlong Wu
Yibo Yang
Zhouchen Lin
Hong Liu
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1
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Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
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2020
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Mohammad Hashir
Hadrien Bertrand
Joseph Cohen
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1
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Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases
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2020
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Yukun Cao
Zhanwei Xu
Jianjiang Feng
Cheng Jin
Xiaoyu Han
Hanping Wu
Heshui Shi
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1
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Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
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2020
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Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
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1
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Rethinking the Route Towards Weakly Supervised Object Localization
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2020
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Chen-Lin Zhang
Yun-Hao Cao
Jianxin Wu
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1
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Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
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2020
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Xiaolin Zhang
Yunchao Wei
Yi Yang
Fei Wu
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1
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Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
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2020
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Shikha Chaganti
Philippe Greniér
Abishek Balachandran
Guillaume Chabin
Stuart L. Cohen
Thomas Flohr
Bogdan Georgescu
Saša Grbić
Siqi Liu
François Mellot
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1
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Evaluating Weakly Supervised Object Localization Methods Right
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2020
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Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
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1
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Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
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2020
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Zhekun Luo
Devin Guillory
Baifeng Shi
Wei Ke
Fang Wan
Trevor Darrell
Huijuan Xu
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1
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Geometry Constrained Weakly Supervised Object Localization
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2020
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Weizeng Lu
Xi Jia
Weicheng Xie
Linlin Shen
Yicong Zhou
Jinming Duan
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1
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When and Why Test-Time Augmentation Works
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2020
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Divya Shanmugam
Davis Blalock
Guha Balakrishnan
John V. Guttag
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1
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Prototype Mixture Models for Few-Shot Semantic Segmentation
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2020
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Boyu Yang
Chang Liu
Bohao Li
Jianbin Jiao
Qixiang Ye
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1
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Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
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2020
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Benjamin Biggs
Oliver Boyne
James Charles
Andrew Fitzgibbon
Roberto Cipolla
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1
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Inter-Image Communication for Weakly Supervised Localization
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2020
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Xiaolin Zhang
Yunchao Wei
Yi Yang
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1
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Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
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2020
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Jun Ma
Yixin Wang
Xingle An
Cheng Ge
Ziqi Yu
Jianan Chen
Qiongjie Zhu
Guoqiang Dong
Jian He
Zhiqiang He
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1
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Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
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2021
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Kelei He
Wei Zhao
Xingzhi Xie
Wen Ji
Mingxia Liu
Zhenyu Tang
Yinghuan Shi
Feng Shi
Yang Gao
Jun Liu
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1
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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2021
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Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lü
Ping Luo
Ling Shao
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1
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
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1
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TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
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2021
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Wei Gao
Fang Wan
Xingjia Pan
Zhiliang Peng
Qi Tian
Zhenjun Han
Bolei Zhou
Qixiang Ye
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1
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Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
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2021
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Xingjia Pan
Yingguo Gao
Zhiwen Lin
Fan Tang
Weiming Dong
Haolei Yuan
Feiyue Huang
Changsheng Xu
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1
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Shallow Feature Matters for Weakly Supervised Object Localization
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2021
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Jun Wei
Qin Wang
Zhen Li
Sheng Wang
Shoujun Zhou
Shuguang Cui
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1
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Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
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2021
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Peisheng Qian
Ziyuan Zhao
Cong Chen
Zeng Zeng
Xiaoli Li
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1
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Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers
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2021
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Gijs van Tulder
Yao Tong
Elena Marchiori
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1
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Normalization Matters in Weakly Supervised Object Localization
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2021
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Jeesoo Kim
Junsuk Choe
Sangdoo Yun
Nojun Kwak
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1
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Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
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2021
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Yijin Huang
Li Lin
Pujin Cheng
Junyan Lyu
Xiaoying Tang
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1
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Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
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2021
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Jinheng Xie
Cheng Luo
Xiangping Zhu
Ziqi Jin
Weizeng Lu
Linlin Shen
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1
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F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
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2022
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Soufiane Belharbi
Aydin Sarraf
Marco Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Éric Granger
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1
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An EM Framework for Online Incremental Learning of Semantic Segmentation
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2021
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Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
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1
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Multiscale Vision Transformers
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2021
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Haoqi Fan
Bo Xiong
Karttikeya Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
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1
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UniFormer: Unifying Convolution and Self-Attention for Visual Recognition
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2023
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Kunchang Li
Yali Wang
Junhao Zhang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
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1
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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1
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
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1
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