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pro vyhledávání: '"Nam, Heejeong"'
Autor:
Nam, Heejeong, Ahn, Jinwoo
The ability to perform complex reasoning across multimodal inputs is essential for models to effectively interact with humans in real-world scenarios. Advancements in vision-language models have significantly improved performance on tasks that requir
Externí odkaz:
http://arxiv.org/abs/2411.14137
Whole-slide image (WSI) classification is a challenging task because 1) patches from WSI lack annotation, and 2) WSI possesses unnecessary variability, e.g., stain protocol. Recently, Multiple-Instance Learning (MIL) has made significant progress, al
Externí odkaz:
http://arxiv.org/abs/2402.10595
Autor:
Nam, Heejeong
Causal disentanglement has great potential for capturing complex situations. However, there is a lack of practical and efficient approaches. It is already known that most unsupervised disentangling methods are unable to produce identifiable results w
Externí odkaz:
http://arxiv.org/abs/2311.06567