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.
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.
no code implementations • ICCV 2023 • Jiahao Chang, Shuo Wang, HaiMing Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao
Next, we propose a target-aware feature distillation to help the student model learn from the object-centric features of the teacher model.
1 code implementation • 1 Aug 2022 • Yangyang Shu, Baosheng Yu, HaiMing Xu, Lingqiao Liu
In low data regimes, a network often struggles to choose the correct regions for recognition and tends to overfit spurious correlated patterns from the training data.