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From Movements to Metrics: Evaluating Explainable AI Methods in
  Skeleton-Based Human Activity Recognition

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition

20 February 2024
Kimji N. Pellano
Inga Strümke
Espen Alexander F. Ihlen
ArXivPDFHTML

Papers citing "From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition"

3 / 3 papers shown
Title
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
Omid Halimi Milani
Amanda Nikho
Lauren Mills
M. Tliba
Ahmet Enis Cetin
Mohammed H. Elnagar
MedIm
26
0
0
29 Apr 2025
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
Ali AlShami
Ryan Rabinowitz
Khang Nhut Lam
Yousra Shleibik
Melkamu Mersha
Terrance Boult
Jugal Kalita
MU
70
1
0
22 Jan 2025
Stronger, Faster and More Explainable: A Graph Convolutional Baseline
  for Skeleton-based Action Recognition
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
Yisheng Song
Zhang Zhang
Caifeng Shan
Liang Wang
117
230
0
20 Oct 2020
1