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of 2 378
pro vyhledávání: '"Choi, Jin‐Young"'
Securing a sufficient amount of paired data is important to train an image-text retrieval (ITR) model, but collecting paired data is very expensive. To address this issue, in this paper, we propose an active learning algorithm for ITR that can collec
Externí odkaz:
http://arxiv.org/abs/2405.16301
While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between motions with different contents. This challenge lies in the lack of clea
Externí odkaz:
http://arxiv.org/abs/2403.06225
In this paper, we raise a new issue on Unidentified Foreground Object (UFO) detection in 3D point clouds, which is a crucial technology in autonomous driving in the wild. UFO detection is challenging in that existing 3D object detectors encounter ext
Externí odkaz:
http://arxiv.org/abs/2401.03846
In the weakly supervised temporal video grounding study, previous methods use predetermined single Gaussian proposals which lack the ability to express diverse events described by the sentence query. To enhance the expression ability of a proposal, w
Externí odkaz:
http://arxiv.org/abs/2312.16388
In the problem of out-of-distribution (OOD) detection, the usage of auxiliary data as outlier data for fine-tuning has demonstrated encouraging performance. However, previous methods have suffered from a trade-off between classification accuracy (ACC
Externí odkaz:
http://arxiv.org/abs/2308.01030
In the field of out-of-distribution (OOD) detection, a previous method that use auxiliary data as OOD data has shown promising performance. However, the method provides an equal loss to all auxiliary data to differentiate them from inliers. However,
Externí odkaz:
http://arxiv.org/abs/2306.10485
This paper investigates a missing feature imputation problem for graph learning tasks. Several methods have previously addressed learning tasks on graphs with missing features. However, in cases of high rates of missing features, they were unable to
Externí odkaz:
http://arxiv.org/abs/2305.16618