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2505.07209
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Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
Computer Vision and Pattern Recognition (CVPR), 2025
12 May 2025
Yan Xie
Zequn Zeng
Hao Zhang
Yucheng Ding
Yun Wang
Zhengjue Wang
Bo Chen
Hongwei Liu
OT
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Papers citing
"Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models"
5 / 5 papers shown
Title
Towards more holistic interpretability: A lightweight disentangled Concept Bottleneck Model
Gaoxiang Huang
Songning Lai
Yutao Yue
72
0
0
17 Oct 2025
Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
Hangzhou He
Lei Zhu
Kaiwen Li
Xinliang Zhang
J. Hu
Ourui Fu
Zhengjian Yao
Yanye Lu
KELM
144
0
0
22 Sep 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Mohammadhadi Shateri
333
0
0
16 Apr 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
612
8
0
03 Mar 2025
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Yuan Zang
Tian Yun
Hao Tan
Trung Bui
Chen Sun
VLM
CoGe
258
14
0
19 Apr 2024
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