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Learning Visual Representations for Transfer Learning by Suppressing
  Texture
v1v2v3 (latest)

Learning Visual Representations for Transfer Learning by Suppressing Texture

3 November 2020
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning Visual Representations for Transfer Learning by Suppressing Texture"

11 / 11 papers shown
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
Tom Burgert
Oliver Stoll
Paolo Rota
Begüm Demir
OOD
355
3
0
24 Sep 2025
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Edgar Heinert
Thomas Gottwald
Annika Mütze
Matthias Rottmann
437
1
0
16 Mar 2025
Can We Break Free from Strong Data Augmentations in Self-Supervised
  Learning?
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
412
1
0
15 Apr 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive
  Learning
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang
Xiang Lan
Xiaoye Qu
Yu Cheng
Mengling Feng
Bryan Hooi
SSL
363
6
0
19 Feb 2024
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing
  Diffusion
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
Edgar Heinert
Matthias Rottmann
Kira Maag
Karsten Kahl
243
9
0
14 Feb 2024
Hyperbolic Contrastive Learning for Visual Representations beyond
  Objects
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsComputer Vision and Pattern Recognition (CVPR), 2022
Songwei Ge
Shlok Kumar Mishra
Simon Kornblith
Chun-Liang Li
David Jacobs
OCLSSL
318
80
0
01 Dec 2022
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
493
29
0
01 Dec 2021
Discrete Representations Strengthen Vision Transformer Robustness
Discrete Representations Strengthen Vision Transformer RobustnessInternational Conference on Learning Representations (ICLR), 2021
Chengzhi Mao
Lu Jiang
Mostafa Dehghani
Carl Vondrick
Rahul Sukthankar
Irfan Essa
ViT
360
47
0
20 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
283
79
0
27 Oct 2021
On-target Adaptation
On-target Adaptation
Yi Xu
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
293
20
0
02 Sep 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.4K
4,836
0
17 Jun 2020
1
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