Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

20 March 2019

Wieland Brendel

Papers citing "Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet"

49 / 99 papers shown

Title
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad D. Ranasinghe AAML 32 53 0 19 Nov 2021
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching Jong Woo Nam A. Rios Bartlett W. Mel 12 0 0 16 Nov 2021
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing Xinyi Ding Tao Han Yili Fang Eric C. Larson 29 6 0 08 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 14 7 0 07 Nov 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples Amin Banitalebi-Dehkordi Yong Zhang 20 7 0 20 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 4 14 0 13 Sep 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 28 56 0 07 Sep 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 26 185 0 22 Aug 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications Joshua Bowren FAtt 22 1 0 14 Aug 2021
Towards robust vision by multi-task learning on monkey visual cortex Shahd Safarani Arne F. Nix K. Willeke Santiago A. Cadena Kelli Restivo George H. Denfield A. Tolias Fabian H. Sinz OOD 13 51 0 29 Jul 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification Qiufu Li Linlin Shen Sheng Guo Zhihui Lai OOD 18 84 0 28 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 15 148 0 03 Jul 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 40 221 0 14 Jun 2021
CAT: Cross Attention in Vision Transformer Hezheng Lin Xingyi Cheng Xiangyu Wu Fan Yang Dong Shen Zhongyuan Wang Qing Song Wei Yuan ViT 27 149 0 10 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 20 95 0 05 Jun 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 620 0 21 May 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 26 75 0 07 Apr 2021
DeepReDuce: ReLU Reduction for Fast Private Inference N. Jha Zahra Ghodsi S. Garg Brandon Reagen 39 90 0 02 Mar 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,524 0 27 Feb 2021
Positional Encoding as Spatial Inductive Bias in GANs Rui Xu Xintao Wang Kai-xiang Chen Bolei Zhou Chen Change Loy GAN 27 89 0 09 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 57 261 0 03 Dec 2020
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro M. Domingos MLT 23 70 0 30 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 12 111 0 29 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 45 257 0 18 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 18 61 0 07 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 19 104 0 03 Nov 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 30 7 0 10 Sep 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 8 138 0 21 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 22 29 0 17 May 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 11 66 0 01 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 28 117 0 27 Feb 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 11 56 0 20 Dec 2019
Exploring Unlabeled Faces for Novel Attribute Discovery Hyojin Bahng Sunghyo Chung Seungjoo Yoo Jaegul Choo CVBM 11 12 0 06 Dec 2019
4-Connected Shift Residual Networks Andrew Brown Pascal Mettes M. Worring 3DPC 13 8 0 22 Oct 2019
KerCNNs: biologically inspired lateral connections for classification of corrupted images Noemi Montobbio L. Bonnasse-Gahot G. Citti A. Sarti 11 10 0 18 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 28 12 0 02 Oct 2019
Multiple instance dense connected convolution neural network for aerial image scene classification Qi Bi K. Qin Zhili Li Han Zhang Kai Xu 18 110 0 22 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision Gamaleldin F. Elsayed Simon Kornblith Quoc V. Le VLM 25 70 0 20 Aug 2019
Predicting Visual Memory Schemas with Variational Autoencoders C. Kyle-Davidson A. Bors K. Evans DRL 17 7 0 19 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 19 79 0 19 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 33 1,417 0 16 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 22 2,152 0 05 Jul 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 13 204 0 06 Jun 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 14 157 0 23 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 11 5 0 19 May 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches Shane Storks Qiaozi Gao J. Chai 13 128 0 02 Apr 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Christoph Schöller Vincent Aravantinos F. Lay Alois C. Knoll 19 219 0 19 Mar 2019
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 156 789 0 24 Nov 2014