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pro vyhledávání: '"Saiyin, Jiya"'
Large-scale visual-language pre-trained models (VLPMs) have demonstrated exceptional performance in downstream object detection through text prompts for natural scenes. However, their application to zero-shot nuclei detection on histopathology images
Externí odkaz:
http://arxiv.org/abs/2410.16820
Prompt tuning methods have achieved remarkable success in parameter-efficient fine-tuning on large pre-trained models. However, their application to dual-modal fusion-based visual-language pre-trained models (VLPMs), such as GLIP, has encountered iss
Externí odkaz:
http://arxiv.org/abs/2407.11414
Autor:
Wu, Yongjian, Zhou, Yang, Saiyin, Jiya, Wei, Bingzheng, Lai, Maode, Shou, Jianzhong, Fan, Yubo, Xu, Yan
Large-scale visual-language pre-trained models (VLPM) have proven their excellent performance in downstream object detection for natural scenes. However, zero-shot nuclei detection on H\&E images via VLPMs remains underexplored. The large gap between
Externí odkaz:
http://arxiv.org/abs/2306.17659