1 code implementation • 21 Mar 2024 • Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
Concept Bottleneck Models (CBMs), which break down the reasoning process into the input-to-concept mapping and the concept-to-label prediction, have garnered significant attention due to their remarkable interpretability achieved by the interpretable concept bottleneck.
1 code implementation • ICCV 2023 • Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song
Part-prototype networks (e. g., ProtoPNet, ProtoTree, and ProtoPool) have attracted broad research interest for their intrinsic interpretability and comparable accuracy to non-interpretable counterparts.
no code implementations • Future Generation Computer Systems 2022 • Jing Zhang, Qihan Huang, Yirui Huang, Qian Ding, Pei-Wei Tsai
Open Data Processing Services (ODPS) offers vast storage capacity and excellent efficiency, which collects and stores a lot of data.
1 code implementation • 22 Aug 2022 • Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song
The global prototypes are adopted to provide the global view of objects to guide local prototypes to concentrate on the foreground while eliminating the influence of the background.
no code implementations • 6 Dec 2021 • Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song
Although few-shot learning and zero-shot learning have been extensively explored in the field of image classification, it is indispensable to design new methods for object detection in the data-scarce scenario since object detection has an additional challenging localization task.