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Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

17 July 2019
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
    3DPC
ArXivPDFHTML

Papers citing "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming"

31 / 81 papers shown
Title
A Novel Framework for Assessment of Learning-based Detectors in
  Realistic Conditions with Application to Deepfake Detection
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Yuhang Lu
Ru Luo
Touradj Ebrahimi
20
0
0
22 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
24
131
0
21 Mar 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li
Adams Wei Yu
Tianjian Meng
Benjamin Caine
Jiquan Ngiam
...
Yifeng Lu
Denny Zhou
Quoc V. Le
Alan Yuille
Mingxing Tan
3DPC
37
327
0
15 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
31
107
0
02 Mar 2022
Benchmark for Out-of-Distribution Detection in Deep Reinforcement
  Learning
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning
Aaqib Parvez Mohammed
Matias Valdenegro-Toro
OOD
OffRL
16
10
0
05 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
16
73
0
01 Dec 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
16
53
0
29 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
19
4
0
14 Nov 2021
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLM
OOD
29
11
0
02 Sep 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
20
89
0
30 Aug 2021
MmWave Radar and Vision Fusion for Object Detection in Autonomous
  Driving: A Review
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review
Zhiqing Wei
Fengkai Zhang
Shuo Chang
Yangyang Liu
Huici Wu
Z. Feng
28
137
0
06 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
20
22
0
02 Aug 2021
Towards robust vision by multi-task learning on monkey visual cortex
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani
Arne F. Nix
K. Willeke
Santiago A. Cadena
Kelli Restivo
George H. Denfield
A. Tolias
Fabian H. Sinz
OOD
13
51
0
29 Jul 2021
SimROD: A Simple Adaptation Method for Robust Object Detection
SimROD: A Simple Adaptation Method for Robust Object Detection
Rindranirina Ramamonjison
Amin Banitalebi-Dehkordi
Xinyu Kang
Xiaolong Bai
Yong Zhang
ObjD
TTA
24
53
0
28 Jul 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization
  and Input Transformation
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
TTA
OOD
16
69
0
28 Jun 2021
Robustness of Object Detectors in Degrading Weather Conditions
Robustness of Object Detectors in Degrading Weather Conditions
M. Jehanzeb Mirza
Cornelius Bürkle
Julio Jarquin
M. Opitz
Fabian Oboril
Kay-Ulrich Scholl
Horst Bischof
11
38
0
16 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLM
AAML
40
221
0
14 Jun 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay
Judy Hoffman
Roozbeh Mottaghi
Aniruddha Kembhavi
18
55
0
08 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
32
106
0
07 Jun 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and
  Benchmarks
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Jiahang Wang
Sheng Jin
Wentao Liu
Weizhong Liu
Chao Qian
Ping Luo
AAML
11
56
0
13 May 2021
StyleLess layer: Improving robustness for real-world driving
StyleLess layer: Improving robustness for real-world driving
Julien Rebut
Andrei Bursuc
P. Pérez
12
5
0
25 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
  Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
27
71
0
04 Mar 2021
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image
  Dehazing
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing
Aditya Mehta
Harsh Sinha
Murari Mandal
Pratik Narang
29
44
0
07 Nov 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
20
165
0
01 Sep 2020
Shift Equivariance in Object Detection
Shift Equivariance in Object Detection
M. Manfredi
Yu Wang
ObjD
9
18
0
13 Aug 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma
  Augmented Gaussian Processes
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
23
63
0
20 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
17
457
0
30 Jun 2020
Utilizing Network Properties to Detect Erroneous Inputs
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
4
6
0
28 Feb 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
18
100
0
15 Jan 2020
Deep learning tools for the measurement of animal behavior in
  neuroscience
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis
Alexander Mathis
3DV
VLM
17
311
0
30 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
16
122
0
24 Sep 2019
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