insert 发表于 2025-3-23 10:27:41
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning,uming to label each modality with a large amount of data, which leads to a crucial problem of semi-supervised multi-modal learning. Existing methods suffer from either ineffective fusion across modalities or lack of theoretical guarantees under proper assumptions. In this paper, we propose a novel i误传 发表于 2025-3-23 14:56:54
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TSIT: A Simple and Versatile Framework for Image-to-Image Translation,ly designed two-stream generative model with newly proposed feature transformations in a coarse-to-fine fashion. This allows multi-scale semantic structure information and style representation to be effectively captured and fused by the network, permitting our method to scale to various tasks in bot低位的人或事 发表于 2025-3-24 01:58:24
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Memory-Augmented Dense Predictive Coding for Video Representation Learning,ntributions: (i) We propose a new architecture and learning framework . (.) for the task. It is trained with a . over the set of ., such that any future states can always be constructed by a convex combination of the condensed representations, allowing to make multiple hypotheses efficiently. (ii) WCompassionate 发表于 2025-3-25 01:29:21
Conference proceedings 2020n, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with top