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"

50 / 312 papers shown

Title
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance Nikolay Dagaev Brett D. Roads Xiaoliang Luo Daniel N. Barry Kaustubh R. Patil Bradley C. Love 74 9 0 12 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers J. H. Metzen Maksym Yatsura AAML 61 41 0 08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks Chong Xiang Prateek Mittal AAML 113 53 0 05 Feb 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised Viviane Clay Peter König G. Pipa Kai-Uwe Kühnberger 60 1 0 03 Feb 2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 56 58 0 28 Jan 2021
Shape or Texture: Understanding Discriminative Features in CNNs Md. Amirul Islam M. Kowal Patrick Esser Sen Jia Bjorn Ommer Konstantinos G. Derpanis Neil D. B. Bruce 93 77 0 27 Jan 2021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods L. Thiry Michael Arbel Eugene Belilovsky Edouard Oyallon AAML 71 14 0 19 Jan 2021
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System M. Rahman S. Rifaat S. N. Sadeek M. Abrar D. Wang 81 6 0 31 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 292 123 0 30 Dec 2020
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information Md. Hishamur Rahman S. Rifaat 73 10 0 16 Dec 2020
Assessing The Importance Of Colours For CNNs In Object Recognition Aditya Singh Alessandro Bay Andrea Mirabile 30 10 0 12 Dec 2020
Cyclic orthogonal convolutions for long-range integration of features Federica Freddi Jezabel R. Garcia Michael Bromberg Sepehr Jalali Da-shan Shiu Alvin Chua A. Bernacchia 47 0 0 11 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs Rui Xu Xintao Wang Kai-xiang Chen Bolei Zhou Chen Change Loy GAN 97 90 0 09 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 316 267 0 09 Dec 2020
MakeupBag: Disentangling Makeup Extraction and Application Dokhyam Hoshen 56 1 0 03 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 201 271 0 03 Dec 2020
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro M. Domingos MLT 98 73 0 30 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 75 116 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 160 269 0 18 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding Menglin Jia Zuxuan Wu A. Reiter Claire Cardie Serge J. Belongie Ser-Nam Lim 51 29 0 11 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 79 62 0 07 Nov 2020
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing Kanglin Liu Gaofeng Cao Fei Zhou Bozhi Liu Jiang Duan Guoping Qiu CVBM 51 21 0 05 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing Texture Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Janit Anjaria Jonghyun Choi Abhinav Shrivastava Abhishek Sharma David Jacobs SSL 117 11 0 03 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 153 107 0 03 Nov 2020
On the surprising similarities between supervised and self-supervised models Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Matthias Bethge Felix Wichmann Wieland Brendel OOD SSL DRL 142 48 0 16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers Preetum Nakkiran Behnam Neyshabur Hanie Sedghi OffRL 97 11 0 16 Oct 2020
On the Minimal Recognizable Image Patch Mark Fonaryov M. Lindenbaum 20 1 0 12 Oct 2020
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features L. Chauvin M. B. Lazreg J. Carluer W. Wells Matthew Toews 27 0 0 08 Oct 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 79 7 0 10 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 60 27 0 05 Sep 2020
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes Rajdeep H. Banerjee Abhinav Ravi U. Dutta 41 5 0 26 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 72 112 0 10 Aug 2020
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach Kai Fabi Jonas Schneider BDL 53 4 0 04 Aug 2020
Describing Textures using Natural Language Chenyun Wu Mikayla Timm Subhransu Maji 3DV 58 10 0 03 Aug 2020
Progressive Multi-stage Feature Mix for Person Re-Identification Yan Zhang Binyu He Li Sun 34 0 0 17 Jul 2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 58 266 0 15 Jul 2020
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation Leonard E. van Dyck W. Gruber 63 3 0 13 Jul 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion Adam Kortylewski Qing Liu Angtian Wang Yihong Sun Alan Yuille 79 78 0 28 Jun 2020
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias Satyam Mohla Anshul Nasery Biplab Banerjee 26 3 0 25 Jun 2020
Hierarchically Compositional Tasks and Deep Convolutional Networks Arturo Deza Q. Liao Andrzej Banburski T. Poggio BDL OOD 70 2 0 24 Jun 2020
Learning compact generalizable neural representations supporting perceptual grouping Vijay Veerabadran V. D. Sa 58 2 0 21 Jun 2020
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron Sergey Bochkanov AAML 66 0 0 16 Jun 2020
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs Peijie Chen Chirag Agarwal Anh Totti Nguyen AAML 57 18 0 16 Jun 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 85 141 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 75 29 0 17 May 2020
Mining self-similarity: Label super-resolution with epitomic representations Nikolay Malkin Anthony Ortiz Caleb Robinson Nebojsa Jojic 37 12 0 24 Apr 2020
Five Points to Check when Comparing Visual Perception in Humans and Machines Christina M. Funke Judy Borowski Karolina Stosio Wieland Brendel Thomas S. A. Wallis Matthias Bethge 71 33 0 20 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 231 2,073 0 16 Apr 2020
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings Wenyu Han Siyuan Xiang Chenhui Liu Ruoyu Wang Chen Feng 55 18 0 31 Mar 2020