P-TAME: Explain Any Image Classifier with Trained Perturbations

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P-TAME: Explain Any Image Classifier with Trained Perturbations

29 January 2025

Mariano V. Ntrougkas

Vasileios Mezaris

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Papers citing "P-TAME: Explain Any Image Classifier with Trained Perturbations"

15 / 15 papers shown

Title
Making AI Intelligible: Philosophical Foundations H. Cappelen J. Dever 59 25 0 12 Jun 2024
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt 38 9 0 18 Jan 2023
MaxViT: Multi-Axis Vision Transformer Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li ViT 131 666 0 04 Apr 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 70 317 0 01 Nov 2021
Refiner: Refining Self-attention for Vision Transformers Daquan Zhou Yujun Shi Bingyi Kang Weihao Yu Zihang Jiang Yuan Li Xiaojie Jin Qibin Hou Jiashi Feng ViT 81 61 0 07 Jun 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 67 335 0 19 Mar 2021
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks M. Sudhakar S. Sattarzadeh Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim AAML 41 11 0 15 Feb 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 667 41,369 0 22 Oct 2020
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,799 0 06 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 102 1,017 0 26 Feb 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 181 1,176 0 19 Jun 2018
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 483 22,134 0 09 Dec 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,338 0 14 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
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 1.7K 39,590 0 01 Sep 2014