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Secondly, we devise a novel multiple puzzle restoring task, which explicitly pre-trains the model regarding these focuses. Thirdly, we introduce an explicit prompt-tuning …
Learn MoreAbstract Pathological image analysis is a crucial field in computer vision. Due to the annotation scarcity in the pathological field, recently, most of the works leverage self …
Learn MoreThe large-scale PuzzleTuning framework, containing the following innovations, defines three task focuses that can effectively bridge knowledge of pathological and natural domain: appearance …
Learn MorePuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles Tianyi Zhang1Shangqing Lyu2Yanli Lei1Sicheng Chen3Nan Ying1 Yufang He1Yu Zhao4Yunlu …
Learn MorePathological image analysis is a crucial field in computer vision. Due to the annotation scarcity in the pathological field, recently, most of the works have leveraged self …
Learn MoreSecondly, we devise a multiple puzzle restoring task to explicitly pre-train the model with these focuses. Thirdly, for the existing large domain gap between natural and …
Learn MoreSecondly, we devise a novel multiple puzzle restoring task, which explicitly pre-trains the model regarding these focuses. Thirdly, we introduce an explicit prompt-tuning process to …
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