无法破译
发表于 2025-3-23 10:47:27
http://reply.papertrans.cn/25/2424/242344/242344_11.png
运动的我
发表于 2025-3-23 17:40:07
,Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classifig but exhibit suboptimal performance in scenarios with limited learning data. In clinical settings, restricted access to pathology slides is inevitable due to patient privacy concerns and the prevalence of rare or emerging diseases. The emergence of the Few-shot Weakly Supervised WSI Classification
假装是我
发表于 2025-3-23 21:50:44
http://reply.papertrans.cn/25/2424/242344/242344_13.png
赌博
发表于 2025-3-23 23:05:03
http://reply.papertrans.cn/25/2424/242344/242344_14.png
Compassionate
发表于 2025-3-24 02:50:54
http://reply.papertrans.cn/25/2424/242344/242344_15.png
Atheroma
发表于 2025-3-24 06:35:16
http://reply.papertrans.cn/25/2424/242344/242344_16.png
majestic
发表于 2025-3-24 13:55:47
http://reply.papertrans.cn/25/2424/242344/242344_17.png
乳汁
发表于 2025-3-24 16:33:18
,ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-Agnostic Counting,ess as they require either a set of examples of the type to be counted or that the query image contains only a single type of object. A significant factor in these shortcomings is the lack of a dataset to properly address counting in settings with more than one kind of object present. To address the
locus-ceruleus
发表于 2025-3-24 20:07:33
,Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery,s. Traditional methods depend on feature distillation to prevent forgetting the old knowledge. However, this strategy restricts the model’s ability to adapt and effectively distinguish new categories. To address this, we introduce a novel technique integrating a learnable projector with feature dist
捐助
发表于 2025-3-24 23:51:06
http://reply.papertrans.cn/25/2424/242344/242344_20.png