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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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2
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Efficient object localization using Convolutional Networks
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2015
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Jonathan Tompson
Ross Goroshin
Arjun Jain
Yann LeCun
Christoph Bregler
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1
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Explaining and Harnessing Adversarial Examples
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2014
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Ian Goodfellow
Jonathon Shlens
Christian Szegedy
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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2014
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Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
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1
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Learning Deep Features for Discriminative Localization
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2016
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Bolei Zhou
Aditya Khosla
Ăgata Lapedriza
Aude Oliva
Antonio Torralba
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1
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
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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
MingâMing Cheng
Yao Zhao
Shuicheng Yan
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1
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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1
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
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2018
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Anish Athalye
Nicholas Carlini
David Wagner
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1
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Focal Loss for Dense Object Detection
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2018
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
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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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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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2017
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Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
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1
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Feature Denoising for Improving Adversarial Robustness
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2019
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Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
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1
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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1
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
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2018
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Anish Athalye
Nicholas Carlini
David T. Wagner
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1
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Training Group Orthogonal Neural Networks with Privileged Information
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2017
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Yunpeng Chen
Xiaojie Jin
Jiashi Feng
Shuicheng Yan
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1
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Self-Erasing Network for Integral Object Attention
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2018
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Qibin Hou
Peng-Tao Jiang
Yunchao Wei
MingâMing Cheng
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1
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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1
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Adversarial training for free
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2019
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Ali Shafahi
Mahyar Najibi
Mohammad Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
Larry S. Davis
Gavin Taylor
Tom Goldstein
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1
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MixMatch: A Holistic Approach to Semi-Supervised Learning
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2019
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David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
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1
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RepPoints: Point Set Representation for Object Detection
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2019
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Ze Yang
Shaohui Liu
Han Hu
Liwei Wang
Stephen Lin
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1
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CenterNet: Keypoint Triplets for Object Detection
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2019
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Kaiwen Duan
Song Bai
Lingxi Xie
Honggang Qi
Qingming Huang
Qi Tian
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1
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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
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2019
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Dan Hendrycks
Norman Mu
Ekin D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
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1
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Random Erasing Data Augmentation
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2020
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Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
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1
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Robust Assessment of Real-World Adversarial Examples
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2020
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Brett Jefferson
Carlos Ortiz Marrero
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1
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CornerNet: Detecting Objects as Paired Keypoints
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2018
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Hei Law
Jia Deng
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1
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Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model.
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2020
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Idan Azuri
Daphna Weinshall
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1
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YOLOv4: Optimal Speed and Accuracy of Object Detection
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2020
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Alexey Bochkovskiy
Chien-Yao Wang
Hong-Yuan Mark Liao
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1
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Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
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2020
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Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
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1
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Efficient Adversarial Training With Transferable Adversarial Examples
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2020
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Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
Atul Prakash
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1
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Wavelet Integrated CNNs for Noise-Robust Image Classification
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2020
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Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
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1
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Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
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2020
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Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
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1
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Adversarial Examples Improve Image Recognition
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2020
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Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
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1
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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
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2021
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Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Fengqiu Wang
Evan Dorundo
Rahul Desai
Tyler Zhu
Samyak Parajuli
Mike Guo
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1
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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2020
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Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
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1
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End-to-End Object Detection with Transformers
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2020
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Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
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1
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UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
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2021
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Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
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1
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VarifocalNet: An IoU-aware Dense Object Detector
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2021
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Haoyang Zhang
Ying Wang
Feras Dayoub
Niko SĂźnderhauf
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1
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
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2021
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Peize Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
Wei Zhan
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
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1
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YOLOX: Exceeding YOLO Series in 2021
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2021
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Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
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1
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Vision Transformers for Dense Prediction
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2021
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RenĂŠ Ranftl
Alexey Bochkovskiy
Vladlen Koltun
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1
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Conditional DETR for Fast Training Convergence
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2021
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Depu Meng
Xiaokang Chen
Zejia Fan
Gang Zeng
Houqiang Li
Yuhui Yuan
Lei Sun
Jingdong Wang
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1
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Adversarial Training for Free!
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2019
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Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
J.W.T. Dickerson
Christoph Studer
Larry S. Davis
Gavin Taylor
Tom Goldstein
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1
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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
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2019
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Dan Hendrycks
Thomas G. Dietterich
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1
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Self-Erasing Network for Integral Object Attention
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2018
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Qibin Hou
Peng-Tao Jiang
Yunchao Wei
MingâMing Cheng
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1
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YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
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2022
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Chuyi Li
Lulu Li
Hongliang Jiang
Kaiheng Weng
Yifei Geng
Liang Li
Zaidan Ke
Qingyuan Li
Meng Cheng
Weiqiang Nie
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1
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DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
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2022
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Feng Li
Hao Zhang
Shilong Liu
Jian Guo
Lionel M. Ni
Lei Zhang
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1
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Objects as Points
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2019
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Xingyi Zhou
Dequan Wang
Philipp Krähenbßhl
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1
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Improving neural networks by preventing co-adaptation of feature detectors
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2012
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Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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1
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