The January 2028 presidential election is already stirring to life. In seven or eight months, the primary season will kick ...
In a host of books and articles as a political scientist, he attacked received ideas on the battle of the sexes, the ...
Abstract: Single positive multi-label learning (SPML) aims to recognize multiple categories with limited supervision from one positive label in an image. With the emergence of pre-trained ...
Abstract: Video-text retrieval is a crucial task in numerous computer vision applications. In this paper, we focus on video-text retrieval involving complex action compositions, where a single video ...
Learning image representations that respect the intrinsic geometry of data is crucial for capturing hierarchical semantic structure, yet generative transport is typically performed in Euclidean spaces ...
This study addresses the problem of Generalized Category Discovery (GCD), an advanced and challenging semi-supervised learning scenario that deals with unlabeled data from both known and novel ...
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