Human-inspired Explanations for Vision Transformers and Convolutional
Neural Networks

Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks

4 August 2024

Mahadev Prasad Panda

Martina Vilas

Bjoern M. Eskofier

Papers citing "Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks"

18 / 18 papers shown

Title
Towards Trust of Explainable AI in Thyroid Nodule Diagnosis Hung Truong Thanh Nguyen Van Binh Truong V. Nguyen Quoc Hung Cao Quoc Khanh Nguyen 34 13 0 08 Mar 2023
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving Mahyar Najibi Jingwei Ji Yin Zhou C. Qi Xinchen Yan Scott Ettinger Drago Anguelov 99 63 0 14 Oct 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 142 5,158 0 10 Jan 2022
FoveaTer: Foveated Transformer for Image Classification Aditya Jonnalagadda Wenjie Wang B. S. Manjunath Miguel P. Eckstein ViT 64 23 0 29 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 282 701 0 22 Apr 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 545 40,739 0 22 Oct 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 79 208 0 20 Jul 2020
Emergent Properties of Foveated Perceptual Systems Arturo Deza Talia Konkle 49 46 0 14 Jun 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 132 794 0 02 May 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 64 415 0 18 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Xia Hu FAtt 86 1,062 0 03 Oct 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 172 1,169 0 19 Jun 2018
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,517 0 11 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 264 19,929 0 07 Oct 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 63 1,897 0 28 Jun 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 237 9,305 0 14 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,472 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 297 7,279 0 20 Dec 2013

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