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Towards Better Explanations of Class Activation Mapping
IEEE International Conference on Computer Vision (ICCV), 2021
10 February 2021
Hyungsik Jung
Youngrock Oh
FAtt
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Papers citing
"Towards Better Explanations of Class Activation Mapping"
37 / 37 papers shown
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361
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PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference
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530
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Tong Zhang
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251
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Harold Mouchère
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245
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Visual Explanations via Iterated Integrated Attributions
IEEE International Conference on Computer Vision (ICCV), 2023
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Yehonatan Elisha
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Noam Koenigstein
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222
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28 Oct 2023
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
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276
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457
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230
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Overview of Class Activation Maps for Visualization Explainability
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279
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Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
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Guillaume Jeanneret
Loïc Simon
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432
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14 Sep 2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
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Yuhao Jiang
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253
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04 Aug 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification
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Yongsheng Gao
Weichuan Zhang
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282
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Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
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Christos Sardianos
Panagiotis I. Radoglou-Grammatikis
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Iraklis Varlamis
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390
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FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs
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150
16
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Saliency Cards: A Framework to Characterize and Compare Saliency Methods
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262
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Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
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Thomas Fréour
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222
3
0
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Understanding CNNs from excitations
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
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Qianmu Li
Zhichao Lian
Jun Hou
Tong Lin
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463
2
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02 May 2022
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