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Towards Better Explanations of Class Activation Mapping

10 February 2021

Papers citing "Towards Better Explanations of Class Activation Mapping"

34 / 34 papers shown

Title
Rethinking Explainability in the Era of Multimodal AI Chirag Agarwal 9 0 0 16 Jun 2025
Visual Explanation via Similar Feature Activation for Metric Learning Yi Liao Ugochukwu Ejike Akpudo Jue Zhang Yongsheng Gao Jun Zhou Wenyi Zeng Weichuan Zhang FAtt 39 0 0 02 Jun 2025
CAMs as Shapley Value-based Explainers Huaiguang Cai FAtt 90 1 0 09 Jan 2025
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Shilin Sun Wenbin An Feng Tian Fang Nan Qidong Liu Jing Liu N. Shah Ping Chen 147 6 0 18 Dec 2024
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Elad Shohama Hadar Cohena Khalil Wattada Havana Rikab Dan Vilenchik 108 1 0 15 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models Yi Liao Yongsheng Gao Weichuan Zhang 100 0 0 02 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels Toshinori Yamauchi Hiroshi Kera K. Kawamoto ObjD FAtt 113 1 0 01 Dec 2024
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation Tillmann Rheude Andreas Wirtz Arjan Kuijper Stefan Wesarg 50 1 0 30 Sep 2024
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition Youssef Doulfoukar Laurent Mertens Joost Vennekens FAtt 72 0 0 19 Jul 2024
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki MoE 66 0 0 05 Jun 2024
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information Qi Lai Chi-Man Vong 68 0 0 08 May 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation T. Chowdhury Kewen Liao Vu Minh Hieu Phan Minh-Son To Yutong Xie Kevin Hung David Ross Anton Van Den Hengel Johan Verjans Zhibin Liao 61 1 0 03 Apr 2024
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference Tanvir Mahmud Burhaneddin Yaman Chun-Hao Liu Diana Marculescu 99 3 0 24 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 72 25 0 15 Mar 2024
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance Jung-Ho Hong Woo-Jeoung Nam Kyu-Sung Jeon Seong-Whan Lee 36 3 0 21 Dec 2023
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification T. Gomez Harold Mouchère FAtt 49 0 0 29 Nov 2023
Visual Explanations via Iterated Integrated Attributions Oren Barkan Yehonatan Elisha Yuval Asher Amit Eshel Noam Koenigstein FAtt XAI 38 18 0 28 Oct 2023
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models Oren Barkan Yuval Asher Amit Eshel Yehonatan Elisha Noam Koenigstein 62 5 0 25 Oct 2023
Deep Integrated Explanations Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 98 7 0 23 Oct 2023
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation Hossein Shreim Abdul Karim Gizzini A. Ghandour 24 2 0 03 Oct 2023
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 79 5 0 25 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 95 13 0 14 Sep 2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise Hangcheng Dong Yuhao Jiang Yingyan Huang Jing-Xiao Liao Bingguo Liu Dong Ye Guodong Liu 31 1 0 04 Aug 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Yiwen Liao Yongsheng Gao Weichuan Zhang FAtt 22 0 0 11 Jul 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions N. Rodis Christos Sardianos Panagiotis I. Radoglou-Grammatikis Panagiotis G. Sarigiannidis Iraklis Varlamis Georgios Th. Papadopoulos 104 23 0 09 Jun 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map Yuguang Yang Runtang Guo Shen-Te Wu Yimi Wang Juan Zhang Xuan Gong Baochang Zhang 52 0 0 27 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 58 3 0 24 Apr 2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Yining Jiao C. Zdanski Julia Kimbell Andrew Prince Cameron P Worden ... Christopher Rutter Benjamin Shields William Dunn Jisan Mahmud Marc Niethammer 102 3 0 16 Mar 2023
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations Changqing Qiu Fusheng Jin Yining Zhang FAtt 57 3 0 16 Mar 2023
On Label Granularity and Object Localization Elijah Cole Kimberly Wilber Grant Van Horn Xuan S. Yang Marco Fornoni Pietro Perona Serge Belongie Andrew G. Howard Oisin Mac Aodha WSOL 84 13 0 20 Jul 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 38 9 0 17 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 68 10 0 07 Jun 2022
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study T. Gomez Thomas Fréour Harold Mouchère 57 3 0 13 May 2022
Understanding CNNs from excitations Zijian Ying Qianmu Li Zhichao Lian Jun Hou Tong Lin Tao Wang AAML FAtt 85 1 0 02 May 2022