Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1811.12231
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness"
50 / 1,489 papers shown
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
Thomas Pollabauer
Fabian Rücker
Andreas Franek
Felix Gorschlüter
181
0
0
07 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
AAAI Conference on Artificial Intelligence (AAAI), 2024
Qinliang Lin
Cheng Luo
Zenghao Niu
Xilin He
Weicheng Xie
Yuanbo Hou
Linlin Shen
Siyang Song
AAML
276
29
0
06 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective
European Conference on Artificial Intelligence (ECAI), 2024
Kien Do
D. Nguyen
Hung Le
T. Le
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
201
0
0
05 Feb 2024
Seeing is not always believing: The Space of Harmless Perturbations
Lu Chen
Shaofeng Li
Benhao Huang
Fan Yang
Zheng Li
Jie Li
Yuan Luo
AAML
196
0
0
03 Feb 2024
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin
Neeraj Gupta
Yue Zhang
Hainan Ren
Chun-Hao Liu
Feng Ding
Xin Eric Wang
Xin Li
Luisa Verdoliva
Shu Hu
897
89
0
22 Jan 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
Zhongliang Guo
Junhao Dong
Shuai Zhao
Kaixuan Wang
Weiye Li
Ziheng Guo
Yuheng Wang
Yanli Li
Ognjen Arandjelović
Lei Fang
AAML
361
18
0
18 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance segmentation
European Conference on Computer Vision (ECCV), 2024
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
209
6
0
17 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
441
2
0
17 Jan 2024
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation
Yixuan Li
Peilin Chen
Hanwei Zhu
Keyan Ding
Leida Li
Shiqi Wang
326
5
0
16 Jan 2024
AI-as-exploration: Navigating intelligence space
Dimitri Coelho Mollo
244
2
0
15 Jan 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson
Isaac Corley
Anthony Ortiz
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
144
2
0
12 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
European Conference on Computer Vision (ECCV), 2024
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
285
18
0
04 Jan 2024
Universal Pyramid Adversarial Training for Improved ViT Performance
Ping Yeh-Chiang
Yipin Zhou
Omid Poursaeed
S. Narayan
Shukla
Tom Goldstein
Ser-Nam Lim
AAML
ViT
195
0
0
26 Dec 2023
Pre-trained Trojan Attacks for Visual Recognition
Aishan Liu
Xinwei Zhang
Yisong Xiao
Yuguang Zhou
Yaning Tan
Jinyang Guo
Xianglong Liu
Xiaochun Cao
Dacheng Tao
AAML
260
41
0
23 Dec 2023
Object-Aware Domain Generalization for Object Detection
Wooju Lee
Dasol Hong
Hyungtae Lim
Hyun Myung
324
37
0
19 Dec 2023
PlaNet-S: Automatic Semantic Segmentation of Placenta
Shinnosuke Yamamoto
Isso Saito
Eichi Takaya
Ayaka Harigai
Tomomi Sato
Tomoya Kobayashi
Kei Takase
Takuya Ueda
116
2
0
18 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training
European Conference on Computer Vision (ECCV), 2023
Min-Seob Lee
Song Park
Byeongho Heo
Dongyoon Han
Hyunjung Shim
MQ
VLM
426
2
0
15 Dec 2023
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Doyoung Kim
Dongmin Park
Yooju Shin
Jihwan Bang
Hwanjun Song
Jae-Gil Lee
CLL
225
5
0
14 Dec 2023
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung
Sangeek Hyun
Jae-Pil Heo
DiffM
342
211
0
11 Dec 2023
Neither hype nor gloom do DNNs justice
Behavioral and Brain Sciences (BBS), 2022
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
342
165
0
08 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts
Timo Freiesleben
NAI
344
4
0
08 Dec 2023
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Taro Hatsutani
Akimichi Ichinose
Keigo Nakamura
Yoshiro Kitamura
94
5
0
08 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
294
4
0
07 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training
Jiaxu Zhao
Lu Yin
Shiwei Liu
Meng Fang
Mykola Pechenizkiy
266
5
0
05 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
DiffM
242
11
0
05 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
376
6
0
04 Dec 2023
Few-shot Shape Recognition by Learning Deep Shape-aware Features
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Wenlong Shi
Changsheng Lu
Ming Shao
Yinjie Zhang
Si-Yu Xia
Piotr Koniusz
241
2
0
03 Dec 2023
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renan A. Rojas-Gomez
Karan Singhal
Ali Etemad
Alex Bijamov
Warren Morningstar
Philip Mansfield
324
1
0
02 Dec 2023
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Computer Vision and Pattern Recognition (CVPR), 2023
Maximilian Augustin
Yannic Neuhaus
Matthias Hein
DiffM
384
9
0
29 Nov 2023
No Representation Rules Them All in Category Discovery
Neural Information Processing Systems (NeurIPS), 2023
S. Vaze
Andrea Vedaldi
Andrew Zisserman
OOD
253
55
0
28 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Mihir Prabhudesai
Tsung-Wei Ke
Alexander C. Li
Deepak Pathak
Katerina Fragkiadaki
TTA
241
27
0
27 Nov 2023
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion
Yueqian Lin
Jingyang Zhang
Yiran Chen
Hai Li
DiffM
179
7
0
21 Nov 2023
Unearthing Common Inconsistency for Generalisable Deepfake Detection
Beilin Chu
Xuan Xu
Weike You
Linna Zhou
260
1
0
20 Nov 2023
Discrete approximations of Gaussian smoothing and Gaussian derivatives
Tony Lindeberg
440
23
0
19 Nov 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images
Nam Cao
O. Saukh
263
2
0
18 Nov 2023
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLM
VLM
169
5
0
18 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
163
0
0
16 Nov 2023
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation
Yihong Wu
Yuwen Heng
Mahesan Niranjan
Hansung Kim
MDE
205
1
0
16 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
International Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
363
25
0
15 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
207
0
0
14 Nov 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
European Conference on Computer Vision (ECCV), 2023
Yunlong Zhang
Honglin Li
Yuxuan Sun
Sunyi Zheng
Chenglu Zhu
Lin Yang
371
61
0
13 Nov 2023
Flatness-aware Adversarial Attack
Neural Information Processing Systems (NeurIPS), 2023
Mingyuan Fan
Xiaodan Li
Cen Chen
Yinggui Wang
AAML
213
8
0
10 Nov 2023
Towards A Unified Neural Architecture for Visual Recognition and Reasoning
Calvin Luo
Boqing Gong
Ting Chen
Chen Sun
OCL
ObjD
167
1
0
10 Nov 2023
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization
Elior Benarous
Sotiris Anagnostidis
Luca Biggio
Thomas Hofmann
257
5
0
10 Nov 2023
Cognitive Architecture Toward Common Ground Sharing Among Humans and Generative AIs: Trial on Model-Model Interactions in Tangram Naming Task
Junya Morita
Tatsuya Yui
Takeru Amaya
Ryuichiro Higashinaka
Yugo Takeuchi
76
2
0
10 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Conference on Robot Learning (CoRL), 2023
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
SSL
375
34
0
03 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Neural Information Processing Systems (NeurIPS), 2023
Andy Zhou
Jindong Wang
Yu-Xiong Wang
Haohan Wang
VLM
265
10
0
02 Nov 2023
Dynamic Batch Norm Statistics Update for Natural Robustness
Shahbaz Rezaei
M. S. Norouzzadeh
146
0
0
31 Oct 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations
European Conference on Artificial Intelligence (ECAI), 2023
Kunyu Wang
Juluan Shi
Wenxuan Wang
AAML
306
7
0
31 Oct 2023
The Acquisition of Physical Knowledge in Generative Neural Networks
International Conference on Machine Learning (ICML), 2023
Luca M. Schulze Buschoff
Eric Schulz
Marcel Binz
AI4CE
202
5
0
30 Oct 2023
Previous
1
2
3
...
7
8
9
...
28
29
30
Next
