ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.05275
  4. Cited By
Spatial-temporal Concept based Explanation of 3D ConvNets

Spatial-temporal Concept based Explanation of 3D ConvNets

9 June 2022
Yi Ji
Yu Wang
K. Mori
Jien Kato
    3DPC
    FAtt
ArXivPDFHTML

Papers citing "Spatial-temporal Concept based Explanation of 3D ConvNets"

7 / 7 papers shown
Title
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
Jongseo Lee
Wooil Lee
Gyeong-Moon Park
Seong Tae Kim
Jinwoo Choi
33
0
0
17 Apr 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs
TraNCE: Transformative Non-linear Concept Explainer for CNNs
Ugochukwu Ejike Akpudo
Yongsheng Gao
J. Zhou
Andrew Lewis
68
0
0
26 Mar 2025
Concept-Based Explanations in Computer Vision: Where Are We and Where
  Could We Go?
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
Jae Hee Lee
Georgii Mikriukov
Gesina Schwalbe
Stefan Wermter
D. Wolter
48
2
0
20 Sep 2024
Natural Language Reinforcement Learning
Natural Language Reinforcement Learning
Xidong Feng
Ziyu Wan
Mengyue Yang
Ziyan Wang
Girish A. Koushiks
Yali Du
Ying Wen
Jun Wang
OffRL
35
3
0
11 Feb 2024
Concept-based Explainable Artificial Intelligence: A Survey
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRM
XAI
19
41
0
20 Dec 2023
State2Explanation: Concept-Based Explanations to Benefit Agent Learning
  and User Understanding
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Devleena Das
Sonia Chernova
Been Kim
LRM
LLMAG
28
22
0
21 Sep 2023
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
S. Pokutta
27
11
0
15 Oct 2021
1