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1811.12231
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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
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Papers citing
"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness"
50 / 1,489 papers shown
Adversarial Filters of Dataset Biases
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Yejin Choi
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Yue Fan
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Bernt Schiele
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05 Feb 2020
Global Texture Enhancement for Fake Face Detection in the Wild
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Juil Sock
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01 Feb 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
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194
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Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
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SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
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Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks
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Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
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Lin Sun
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30 Dec 2019
Image Enhanced Rotation Prediction for Self-Supervised Learning
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Shoichiro Takeda
106
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25 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
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Alex Lamb
Sherjil Ozair
Vikas Verma
David R Ha
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274
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25 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail
International Conference on Machine Learning (ICML), 2019
Leon Sixt
Maximilian Granz
Tim Landgraf
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20 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
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Chen Gao
Joseph C.E. Messou
Jia-Bin Huang
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11 Dec 2019
Exploring Unlabeled Faces for Novel Attribute Discovery
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Hyojin Bahng
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Seungjoo Yoo
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200
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06 Dec 2019
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47
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06 Dec 2019
Angular Visual Hardness
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Weiyang Liu
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276
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04 Dec 2019
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Qiming Yang
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Steve B. Jiang
198
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04 Dec 2019
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Javier Vázquez-Corral
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75
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03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
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Tero Karras
S. Laine
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03 Dec 2019
Increasing Generality in Machine Learning through Procedural Content Generation
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Julian Togelius
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29 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
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359
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27 Nov 2019
Exploring Frequency Domain Interpretation of Convolutional Neural Networks
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Chenglong Bao
Kaisheng Ma
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177
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27 Nov 2019
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
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Shangzhe Wu
Christian Rupprecht
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366
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25 Nov 2019
Universal Adversarial Robustness of Texture and Shape-Biased Models
International Conference on Information Photonics (ICIP), 2019
Kenneth T. Co
Luis Muñoz-González
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377
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23 Nov 2019
Domain Adaptation for Object Detection via Style Consistency
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209
108
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22 Nov 2019
Adversarial Examples Improve Image Recognition
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Mingxing Tan
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Quoc V. Le
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393
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The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
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Defective Convolutional Networks
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Di He
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255
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Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
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Vivien Sainte Fare Garnot
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Bias-Aware Heapified Policy for Active Learning
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Gabriel Kreiman
159
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Adversarial Examples in Modern Machine Learning: A Review
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234
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Pose estimation and bin picking for deformable products
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Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
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Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
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133
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Wieland Brendel
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Jacob Reimer
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Fabian H. Sinz
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Self-training with Noisy Student improves ImageNet classification
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Deep Flow Collaborative Network for Online Visual Tracking
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Xiyu Yan
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Shutao Xia
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Visual Privacy Protection via Mapping Distortion
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Peidong Liu
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Semantic Object Accuracy for Generative Text-to-Image Synthesis
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PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
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Raúl Santos-Rodríguez
190
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HyunJae Lee
Jongchan Park
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379
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Multimodal Image Outpainting With Regularized Normalized Diversification
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305
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25 Oct 2019
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