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
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Feifei Li Mi Zhang Zhaoxiang Wang Min Yang 137 0 0 26 May 2025
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 233 0 0 23 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 253 1 0 14 Apr 2025
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification K. Djoumessi Samuel Ofosu Mensah Philipp Berens ViT MedIm 58 0 0 11 Apr 2025
v-CLR: View-Consistent Learning for Open-World Instance Segmentation Chang-Bin Zhang Jinhong Ni Yujie Zhong Kai Han 3DV VLM 179 0 0 02 Apr 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 112 0 0 21 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 122 0 0 11 Mar 2025
i-WiViG: Interpretable Window Vision GNN Ivica Obadic D. Kangin Dario Augusto Borges Oliveira Plamen Angelov Xiao Xiang Zhu 131 0 0 11 Mar 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 158 0 0 24 Feb 2025
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 268 0 0 10 Oct 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 120 1 0 16 Sep 2024
Say My Name: a Model's Bias Discovery Framework Massimiliano Ciranni Luca Molinaro C. Barbano Attilio Fiandrotti Vittorio Murino Vito Paolo Pastore Enzo Tartaglione 95 3 0 18 Aug 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 91 3 0 16 Jul 2024
Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appear Seonwhee Jin 49 0 0 11 Jul 2024
This actually looks like that: Proto-BagNets for local and global interpretability-by-design K. Djoumessi B. Bah Laura Kühlewein Philipp Berens Lisa M. Koch FAtt 75 2 0 21 Jun 2024
Real-Time Deepfake Detection in the Real-World Bar Cavia Eliahu Horwitz Tal Reiss Yedid Hoshen 119 8 0 13 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 77 1 0 08 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 99 0 0 03 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu AAML 63 4 0 02 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 120 6 0 30 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 80 8 0 23 May 2024
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification Sankalp Sinha Muhammad Gul Zain Ali Khan Talha Uddin Sheikh Didier Stricker Muhammad Zeshan Afzal VLM 39 1 0 06 May 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 107 1 0 20 Mar 2024
Towards White Box Deep Learning Maciej Satkiewicz AAML 88 1 0 14 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 101 4 0 14 Mar 2024
Trapped in texture bias? A large scale comparison of deep instance segmentation J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 77 5 0 17 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 54 0 0 12 Jan 2024
TPatch: A Triggered Physical Adversarial Patch Wenjun Zhu Xiaoyu Ji Yushi Cheng Shibo Zhang Wei Dong AAML 108 27 0 30 Dec 2023
Foveation in the Era of Deep Learning George Killick Paul Henderson Paul Siebert Gerardo Aragon Camarasa FedML 82 2 0 03 Dec 2023
Few-shot Shape Recognition by Learning Deep Shape-aware Features Wenlong Shi Changsheng Lu Ming Shao Yinjie Zhang Si-Yu Xia Piotr Koniusz 88 2 0 03 Dec 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 130 0 0 16 Nov 2023
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization Elior Benarous Sotiris Anagnostidis Luca Biggio Thomas Hofmann 74 3 0 10 Nov 2023
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity Tianqin Li Ziqi Wen Yangfan Li Tai Sing Lee 47 11 0 29 Oct 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks Sophia Sanborn Nina Miolane AAML OOD 84 4 0 28 Oct 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow Erik Scheurer Jenny Schmalfuss Alexander Lis Andrés Bruhn AAML 76 6 0 26 Oct 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing Claudio Fanconi Moritz Vandenhirtz Severin Husmann Julia E. Vogt FAtt 70 2 0 25 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 122 6 0 19 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 106 6 0 19 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 99 14 0 10 Oct 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 82 8 0 04 Sep 2023
FACET: Fairness in Computer Vision Evaluation Benchmark Laura Gustafson Chloe Rolland Nikhila Ravi Quentin Duval Aaron B. Adcock Cheng-Yang Fu Melissa Hall Candace Ross VLM EGVM 117 40 0 31 Aug 2023
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition Ombretta Strafforello X. Liu Klamer Schutte Jan van Gemert 42 2 0 22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 126 8 0 21 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 61 1 0 19 Aug 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 70 14 0 16 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 86 34 0 11 Aug 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang William Chan AAML 70 0 0 01 Aug 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 99 12 0 26 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 94 16 0 23 Jul 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition Qiulei Dong Hong Wang Qiulei Dong 104 0 0 14 Jul 2023