ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.13389
  4. Cited By
SimROD: A Simple Adaptation Method for Robust Object Detection

SimROD: A Simple Adaptation Method for Robust Object Detection

28 July 2021
Rindranirina Ramamonjison
Amin Banitalebi-Dehkordi
Xinyu Kang
Xiaolong Bai
Yong Zhang
    ObjD
    TTA
ArXivPDFHTML

Papers citing "SimROD: A Simple Adaptation Method for Robust Object Detection"

31 / 31 papers shown
Title
On Interaction Between Augmentations and Corruptions in Natural
  Corruption Robustness
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun
A. Kirillov
Saining Xie
72
93
0
22 Feb 2021
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive
  Object Detector
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
Cheng-Chun Hsu
Yi-Hsuan Tsai
Yen-Yu Lin
Ming-Hsuan Yang
ObjD
53
202
0
19 Aug 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
99
541
0
01 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
76
476
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
274
1,715
0
29 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
70
495
0
10 May 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
185
201
0
23 Mar 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
91
1,293
0
05 Dec 2019
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
109
565
0
21 Nov 2019
Progressive Domain Adaptation for Object Detection
Progressive Domain Adaptation for Object Detection
Han-Kai Hsu
Chun-Han Yao
Yi-Hsuan Tsai
Wei-Chih Hung
Hung-Yu Tseng
M. Singh
Ming-Hsuan Yang
ObjD
96
307
0
24 Oct 2019
Multi-level Domain Adaptive learning for Cross-Domain Detection
Multi-level Domain Adaptive learning for Cross-Domain Detection
Rongchang Xie
Fei Yu
Jiachao Wang
Yizhou Wang
Li Zhang
ObjD
OOD
48
92
0
26 Jul 2019
Multi-adversarial Faster-RCNN for Unrestricted Object Detection
Multi-adversarial Faster-RCNN for Unrestricted Object Detection
Zhenwei He
Lei Zhang
ObjD
58
323
0
24 Jul 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
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
89
443
0
17 Jul 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
46
385
0
27 May 2019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm
  for Object Detection
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim
Minki Jeong
Seunghyeon Kim
Seokeon Choi
Changick Kim
50
301
0
14 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
81
2,333
0
13 May 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai
Yingwei Pan
Chong-Wah Ngo
Xinmei Tian
Ling-yu Duan
Ting Yao
ViT
OOD
59
307
0
25 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection
A Robust Learning Approach to Domain Adaptive Object Detection
Mehran Khodabandeh
Arash Vahdat
Mani Ranjbar
W. Macready
ObjD
OOD
TTA
38
245
0
04 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
123
3,399
0
28 Mar 2019
Strong-Weak Distribution Alignment for Adaptive Object Detection
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
ObjD
70
609
0
12 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
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
94
2,647
0
29 Nov 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
73
1,531
0
29 May 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive
  Domain Adaptation
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue
Ryosuke Furuta
T. Yamasaki
Kiyoharu Aizawa
ObjD
71
528
0
30 Mar 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OOD
ObjD
96
1,291
0
08 Mar 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
132
2,992
0
08 Nov 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
244
4,646
0
17 Feb 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
133
1,534
0
16 Dec 2016
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
81
616
0
06 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
779
11,540
0
06 Apr 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
61
584
0
15 Mar 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
376
43,154
0
11 Feb 2015
1