| Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition M Xue, Q Huang, H Zhang, L Cheng, J Song, M Wu, M Song arXiv preprint arXiv:2208.10431, 2022 | 33 | 2022 |
| A survey of deep learning for low-shot object detection Q Huang, H Zhang, M Xue, J Song, M Song arXiv preprint arXiv:2112.02814, 2021 | 11 | 2021 |
| Evaluation and improvement of interpretability for self-explainable part-prototype networks Q Huang, M Xue, W Huang, H Zhang, J Song, Y Jing, M Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Learn decision trees with deep visual primitives M Xue, H Zhang, Q Huang, J Song, M Song Journal of Visual Communication and Image Representation 89, 103682, 2022 | 3 | 2022 |
| Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes Q Huang, M Xue, H Zhang, J Song, M Song arXiv preprint arXiv:2212.05946, 2022 | 2 | 2022 |
| On the Concept Trustworthiness in Concept Bottleneck Models Q Huang, J Song, J Hu, H Zhang, Y Wang, M Song Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21161 …, 2024 | | 2024 |
| Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Supplemental Material Q Huang, M Xue, W Huang, H Zhang, J Song, Y Jing, M Song | | |
