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Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
v1v2v3 (latest)

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

International Conference on Human Factors in Computing Systems (CHI), 2020
10 December 2020
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning"

3 / 3 papers shown
On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
Aline Mangold
Juliane Zietz
Susanne Weinhold
Sebastian Pannasch
XAIELM
154
0
0
14 Oct 2025
Beyond XAI:Obstacles Towards Responsible AI
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
264
1
0
07 Sep 2023
Gesture-aware Interactive Machine Teaching with In-situ Object
  Annotations
Gesture-aware Interactive Machine Teaching with In-situ Object AnnotationsACM Symposium on User Interface Software and Technology (UIST), 2022
Zhongyi Zhou
Koji Yatani
VLM
240
23
0
02 Aug 2022
1