Weakly supervised semantic segmentation (WSSS) with image-level labels effectively alleviates the time-consuming and laborious issue of manually annotating image pixels in semantic segmentation.

Our findings indicate that the prognostic scores generated by the response model could identify patient subgroups with relatively poor outcomes under their actual treatments. These preliminary ...

Contrastive Language-Image Pre-Training (CLIP) model excels in traditional person re-identification (ReID) tasks due to its inherent advantage in generating textual descriptions for pedestrian images.