no code implementations • 19 Jul 2023 • Along He, Kai Wang, Zhihong Wang, Tao Li, Huazhu Fu
Firstly, the frozen features are transformed by an lightweight bottleneck layer to learn the domain-specific distribution of downstream medical tasks, and then a few learnable visual prompts are used as dynamic queries and then conduct cross-attention with the transformed features, attempting to acquire sample-specific knowledge that are suitable for each sample.
2 code implementations • 31 May 2022 • Along He, Kai Wang, Tao Li, Wang Bo, Hong Kang, Huazhu Fu
The two proposed PFF and DAB blocks can be integrated with the off-the-shelf backbone networks to address the two issues of multi-scale and feature inconsistency in the multi-class segmentation of fundus lesions, which will produce better feature representation in the feature space.