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Natural Adversarial Objects

Natural Adversarial Objects

7 November 2021
Felix Lau
Nishant Subramani
Sasha Harrison
Aerin Kim
E. Branson
Rosanne Liu
ArXivPDFHTML

Papers citing "Natural Adversarial Objects"

7 / 7 papers shown
Title
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
31
0
0
11 Apr 2025
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
32
5
0
17 Jan 2024
Impact of Light and Shadow on Robustness of Deep Neural Networks
Impact of Light and Shadow on Robustness of Deep Neural Networks
Chen-Hao Hu
Weiwen Shi
Chaoxian Li
Jialiang Sun
Donghua Wang
Jun Wu
Guijian Tang
AAML
19
1
0
23 May 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution
  Generalization of VQA Models
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Ali Borji
CoGe
10
1
0
28 Jan 2023
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson
Gordon Lim
Yutong Ai
David Kuang
Kevin Leach
OODD
OOD
37
18
0
14 Oct 2022
Impact of Colour Variation on Robustness of Deep Neural Networks
Impact of Colour Variation on Robustness of Deep Neural Networks
Chen-Hao Hu
Weiwen Shi
AAML
OOD
17
1
0
02 Sep 2022
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