Robust and Accurate Object Detection via Adversarial Learning

23 March 2021

Xiangning Chen

Cihang Xie

Mingxing Tan

Papers citing "Robust and Accurate Object Detection via Adversarial Learning"

40 / 40 papers shown

Title
Scale-Invariant Object Detection by Adaptive Convolution with Unified Global-Local Context Amrita Singh Snehasis Mukherjee 161 0 0 17 Sep 2024
TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya Sean Foley James Hays Judy Hoffman 72 194 0 18 Aug 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 68 197 0 24 Dec 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 114 565 0 21 Nov 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 92 5,024 0 20 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 292 2,387 0 11 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 208 3,480 0 30 Sep 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 106 131 0 24 Jul 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming Claudio Michaelis Benjamin Mitzkus Robert Geirhos E. Rusak Oliver Bringmann Alexander S. Ecker Matthias Bethge Wieland Brendel 3DPC 95 444 0 17 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 78 531 0 26 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 129 18,058 0 28 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 88 161 0 23 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 94 595 0 01 May 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection Golnaz Ghiasi Nayeon Lee Ruoming Pang Quoc V. Le ObjD 72 1,391 0 16 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 154 3,423 0 28 Mar 2019
Bag of Freebies for Training Object Detection Neural Networks Zhi-Li Zhang Tong He Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li VLM ObjD 47 187 0 11 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 127 2,542 0 24 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 96 2,662 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 125 1,084 0 21 Nov 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 60 31 0 16 Sep 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno D. Song AAML 84 468 0 20 Jul 2018
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 57 293 0 05 Jun 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 189 427 0 16 Apr 2018
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 62 144 0 07 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data C. Qi Wen Liu Chenxia Wu Hao Su Leonidas Guibas 3DPC 147 2,259 0 22 Nov 2017
MegDet: A Large Mini-Batch Object Detector Chao Peng Tete Xiao Zeming Li Yuning Jiang Xiangyu Zhang Kai Jia Gang Yu Jian Sun ObjD 165 318 0 20 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,743 0 25 Oct 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,997 0 07 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 275 12,029 0 19 Jun 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 104 930 0 24 Mar 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy Joseph Lemley S. Bazrafkan Peter Corcoran 71 375 0 24 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 344 27,129 0 20 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 461 3,138 0 04 Nov 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 615 37,806 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 198 29,742 0 08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 658 36,801 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 471 62,122 0 04 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 239 19,017 0 20 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 377 43,524 0 01 May 2014