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cs.CV2024
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning
Tianhang Pan, Xiuyi Jia
Currently, most crowd counting methods have outstanding performance under normal weather conditions. However, our experimental validation reveals two key obstacles limiting the acc…
cs.CV2024
Polyp-DAM: Polyp segmentation via depth anything model
Zhuoran Zheng, Chen Wu, Wei Wang +2
Recently, large models (Segment Anything model) came on the scene to provide a new baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient imag…