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ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
v1v2v3 (latest)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

29 November 2018
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
ArXiv (abs)PDFHTML

Papers citing "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness"

50 / 1,487 papers shown
Title
NeuralOOD: Improving Out-of-Distribution Generalization Performance with
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Changde Du
Hui Li
Huiguang He
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Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
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Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
230
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0
27 Aug 2024
Accuracy Improvement of Cell Image Segmentation Using Feedback Former
Accuracy Improvement of Cell Image Segmentation Using Feedback FormerIEEE Access (IEEE Access), 2024
Hinako Mitsuoka
Kazuhiro Hotta
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485
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23 Aug 2024
Multilevel Interpretability Of Artificial Neural Networks: Leveraging
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Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
Zhonghao He
Jascha Achterberg
Katie Collins
Kevin K. Nejad
Danyal Akarca
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Chole Li
Kai J. Sandbrink
Stephen Casper
Anna Ivanova
Grace W. Lindsay
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277
5
0
22 Aug 2024
Finding Closure: A Closer Look at the Gestalt Law of Closure in
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Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
Yuyan Zhang
Derya Soydaner
Lisa Koßmann
Fatemeh Behrad
Johan Wagemans
130
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Segment-Anything Models Achieve Zero-shot Robustness in Autonomous
  Driving
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan
Pengyu Wang
Danni Wang
Weiquan Huang
Daniel Watzenig
Huilin Yin
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185
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Towards flexible perception with visual memory
Towards flexible perception with visual memory
Robert Geirhos
P. Jaini
Austin Stone
Sourabh Medapati
Xi Yi
G. Toderici
Abhijit Ogale
Jonathon Shlens
461
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15 Aug 2024
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
PushPull-Net: Inhibition-driven ResNet robust to image corruptionsInternational Conference on Pattern Recognition (ICPR), 2024
Guru Swaroop Bennabhaktula
Enrique Alegre
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George Azzopardi
282
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07 Aug 2024
TALE: Training-free Cross-domain Image Composition via Adaptive Latent
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K. T. Pham
Jingye Chen
Qifeng Chen
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Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Boddeti
337
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0
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Tensorial template matching for fast cross-correlation with rotations
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Tensorial template matching for fast cross-correlation with rotations and its application for tomographyEuropean Conference on Computer Vision (ECCV), 2024
Antonio Martinez-Sanchez
Ulrike Homberg
José María Almira
Harold Phelippeau
95
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Label Augmentation for Neural Networks Robustness
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ST-SACLF: Style Transfer Informed Self-Attention Classifier for
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Mridula Vijendran
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Jingjing Deng
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261
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Peng Ding
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Dan Ma
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Contrastive Factor Analysis
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Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
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184
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Space-scale Exploration of the Poor Reliability of Deep Learning Models:
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269
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What does Kiki look like? Cross-modal associations between speech sounds
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Configural processing as an optimized strategy for robust object
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