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
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 132 60 0 19 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 163 27 0 19 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 164 50 0 17 Jun 2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion Isha Rawal Alexander Matyasko Shantanu Jaiswal Basura Fernando Cheston Tan 68 3 0 15 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 81 20 0 06 Jun 2023
Estimating Conditional Mutual Information for Dynamic Feature Selection Soham Gadgil Ian Covert Su-In Lee 77 3 0 05 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape Chaoning Zhang Yu Qiao Shehbaz Tariq Sheng Zheng Chenshuang Zhang Chenghao Li Hyundong Shin Choong Seon Hong VLM 73 10 0 03 Jun 2023
Revisiting the Role of Language Priors in Vision-Language Models Zhiqiu Lin Xinyue Chen Deepak Pathak Pengchuan Zhang Deva Ramanan VLM 159 27 0 02 Jun 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 61 28 0 26 May 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 141 5 0 23 May 2023
Mining bias-target Alignment from Voronoi Cells Rémi Nahon Van-Tam Nguyen Enzo Tartaglione 82 5 0 05 May 2023
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou 91 9 0 27 Apr 2023
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch Shengbang Tong Yubei Chen Yi Ma Yann LeCun 72 26 0 08 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 31 14 0 04 Apr 2023
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR Wei-Jang Li Wei Yang Li Liu Wenpeng Zhang Yang Liu 82 25 0 03 Apr 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 100 28 0 14 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 74 5 0 12 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Mingli Song Mingli Song OCL 78 3 0 12 Mar 2023
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies Hannah Pinson Joeri Lenaerts V. Ginis 62 3 0 03 Mar 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 102 20 0 01 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 98 17 0 01 Mar 2023
Domain Generalization Emerges from Dreaming Hwan Heo Youngjin Oh Jaewon Lee Hyunwoo J. Kim 68 2 0 02 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 148 22 0 30 Jan 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 111 30 0 28 Jan 2023
PECAN: A Deterministic Certified Defense Against Backdoor Attacks Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 88 4 0 27 Jan 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 95 9 0 20 Jan 2023
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation Ji-Hoon Bae K. Hwang Sunghoon Im MDE 124 9 0 09 Jan 2023
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images Roozbeh Bazargani L. Fazli L. Goldenberg M. Gleave A. Bashashati Septimiu Salcudean MedIm 102 7 0 17 Dec 2022
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations A. Farahat Felix Effenberger M. Vinck 91 5 0 12 Dec 2022
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification Muhammad Ferjad Naeem Muhammad Gul Zain Ali Khan Yongqin Xian Muhammad Zeshan Afzal D. Stricker Luc Van Gool F. Tombari VLM 89 56 0 05 Dec 2022
Extreme Image Transformations Affect Humans and Machines Differently Girik Malik Dakarai Crowder E. Mingolla AAML 78 2 0 30 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 84 38 0 25 Nov 2022
Unbiased Supervised Contrastive Learning C. Barbano Benoit Dufumier Enzo Tartaglione Marco Grangetto Pietro Gori FaML SSL 81 31 0 10 Nov 2022
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection Soumen Basu Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora ViT MedIm 81 33 0 09 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 98 78 0 08 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 410 30 0 04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 148 11 0 03 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 127 129 0 20 Oct 2022
Context-driven Visual Object Recognition based on Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 80 0 0 20 Oct 2022
Inference Latency Prediction at the Edge Zhuojin Li Marco Paolieri L. Golubchik 62 3 0 06 Oct 2022
When and why vision-language models behave like bags-of-words, and what to do about it? Mert Yuksekgonul Federico Bianchi Pratyusha Kalluri Dan Jurafsky James Zou VLM CoGe 162 394 0 04 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 101 117 0 02 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 100 48 0 30 Sep 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Yi Ma Bruno A. Olshausen Yann LeCun 115 8 0 30 Sep 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 110 18 0 13 Sep 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 80 13 0 07 Sep 2022
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images Pierrick Pochelu Clara Erard Philippe Cordier S. Petiton B. Conche 30 1 0 30 Aug 2022
Explainability of Deep Learning models for Urban Space perception Ruben Sangers Jan van Gemert Sander van Cranenburgh ViT FAtt 33 2 0 29 Aug 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 59 37 0 18 Aug 2022