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Benchmarking the Robustness of Spatial-Temporal Models Against
  Corruptions

Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions

13 October 2021
Chenyu Yi
Siyuan Yang
Haoliang Li
Yap-Peng Tan
Alex C. Kot
ArXivPDFHTML

Papers citing "Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions"

22 / 22 papers shown
Title
Robust and Transferable Backdoor Attacks Against Deep Image Compression
  With Selective Frequency Prior
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
Yi Yu
Yufei Wang
Wenhan Yang
Lanqing Guo
Shijian Lu
Ling-yu Duan
Yap-Peng Tan
Alex C. Kot
AAML
76
4
0
02 Dec 2024
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Zhonghua Yi
Hao-miao Shi
Qi Jiang
Yao Gao
Ze Wang
Y. Zhang
Kailun Yang
Kaiwei Wang
AAML
70
0
0
22 Nov 2024
Sensitivity-Informed Augmentation for Robust Segmentation
Sensitivity-Informed Augmentation for Robust Segmentation
L. Zheng
Wenjie Wei
Tony Wu
Jacob Clements
Shreelekha Revankar
Andre Harrison
Yu Shen
Ming-Chyuan Lin
AAML
25
0
0
03 Jun 2024
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
32
3
0
29 Mar 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks
  Relative to Human Performance
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Huakun Shen
Boyue Caroline Hu
Krzysztof Czarnecki
Lina Marsso
Marsha Chechik
19
0
0
29 Feb 2024
Adversarial Augmentation Training Makes Action Recognition Models More
  Robust to Realistic Video Distribution Shifts
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
Kiyoon Kim
Shreyank N. Gowda
Panagiotis Eustratiadis
Antreas Antoniou
Robert B Fisher
24
2
0
21 Jan 2024
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Lingdong Kong
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
Benoit R. Cottereau
Wei Tsang Ooi
OODD
20
30
0
23 Oct 2023
RobustMQ: Benchmarking Robustness of Quantized Models
RobustMQ: Benchmarking Robustness of Quantized Models
Yisong Xiao
Aishan Liu
Tianyuan Zhang
Haotong Qin
Jinyang Guo
Xianglong Liu
MQ
18
15
0
04 Aug 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
...
Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
19
13
0
27 Jul 2023
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory
  Prediction in Autonomous Driving
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz
Mohammad Sabokrou
Amir Rasouli
AAML
23
6
0
27 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Yu Qiao
Chaoning Zhang
Taegoo Kang
Donghun Kim
Chenshuang Zhang
Choong Seon Hong
AAML
8
33
0
13 Jun 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained
  Vision-Language Models
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Shuo Chen
Jindong Gu
Zhen Han
Yunpu Ma
Philip H. S. Torr
Volker Tresp
VPVLM
VLM
21
17
0
03 Jun 2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
Lingdong Kong
You-Chen Liu
Xin Li
Runnan Chen
Wenwei Zhang
Jiawei Ren
Liang Pan
Kaili Chen
Ziwei Liu
20
83
0
30 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency
  Trigger
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Yi Yu
Yufei Wang
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
48
41
0
28 Feb 2023
Temporal Coherent Test-Time Optimization for Robust Video Classification
Temporal Coherent Test-Time Optimization for Robust Video Classification
Chenyu Yi
Siyuan Yang
Yufei Wang
Haoliang Li
Yap-Peng Tan
Alex C. Kot
TTA
13
12
0
28 Feb 2023
Video Test-Time Adaptation for Action Recognition
Video Test-Time Adaptation for Action Recognition
Wei Lin
M. Jehanzeb Mirza
Mateusz Koziñski
Horst Possegger
Hilde Kuehne
Horst Bischof
TTA
29
31
0
24 Nov 2022
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain
  Generalization
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization
Zdravko Marinov
Alina Roitberg
David Schneider
Rainer Stiefelhagen
9
4
0
19 Aug 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Y. S. Rawat
AAML
14
24
0
04 Jul 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
20
105
0
02 Mar 2022
A Coding Framework and Benchmark towards Compressed Video Understanding
A Coding Framework and Benchmark towards Compressed Video Understanding
Yuan Tian
Guo Lu
Yichao Yan
Guangtao Zhai
L. Chen
Zhiyong Gao
21
21
0
06 Feb 2022
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for
  Cross-Domain Robustness in Action Recognition
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
Sofia Broomé
Ernest Pokropek
Boyu Li
Hedvig Kjellström
6
7
0
22 Dec 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
278
1,939
0
09 Feb 2021
1