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cs.CV2024
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
Zhen Qu, Xian Tao, Mukesh Prasad +4
Recently, large-scale vision-language models such as CLIP have demonstrated immense potential in zero-shot anomaly segmentation (ZSAS) task, utilizing a unified model to directly d…
cs.CV2024
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Hao Feng, Yuanzhe Jia, Ruijia Xu +3
Image recognition techniques heavily rely on abundant labeled data, particularly in medical contexts. Addressing the challenges associated with obtaining labeled data has led to th…