no code implementations • 3 Mar 2024 • YuHao Lin, HaiMing Xu, Lingqiao Liu, Javen Qinfeng Shi
Class-Agnostic Counting (CAC) seeks to accurately count objects in a given image with only a few reference examples.
1 code implementation • 29 May 2023 • Jinan Zou, Maihao Guo, Yu Tian, YuHao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
Identifying unexpected domain-shifted instances in natural language processing is crucial in real-world applications.
1 code implementation • CVPR 2023 • Chang Jiang, Fei Gao, Biao Ma, YuHao Lin, Nannan Wang, Gang Xu
To overcome this challenge, we improve the accuracy of matching on the one hand, and diminish the role of matching in image generation on the other hand.
no code implementations • 17 Mar 2023 • YuHao Lin, HaiMing Xu, Lingqiao Liu, Jinan Zou, Javen Qinfeng Shi
In this paper, we revisit the idea of using image reconstruction as the auxiliary task and incorporate it with a modern semi-supervised semantic segmentation framework.
1 code implementation • 14 Jun 2022 • Jinan Zou, Haiyao Cao, Lingqiao Liu, YuHao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
In addition, we propose a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of our system.
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