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Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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樓主: Harding
51#
發(fā)表于 2025-3-30 11:02:54 | 只看該作者
Computer Vision – ECCV 2024978-3-031-72646-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
52#
發(fā)表于 2025-3-30 15:33:28 | 只看該作者
https://doi.org/10.1007/978-3-031-72646-0artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer
53#
發(fā)表于 2025-3-30 20:12:15 | 只看該作者
54#
發(fā)表于 2025-3-30 20:58:50 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242314.jpg
55#
發(fā)表于 2025-3-31 01:08:39 | 只看該作者
56#
發(fā)表于 2025-3-31 06:12:02 | 只看該作者
,Efficient Few-Shot Action Recognition via?Multi-level Post-reasoning,evel. The ensuing spatiotemporal reasoning module operates on multi-level representations to generate discriminative features. As for matching, the contrasts between text-visual and support-query are integrated to provide comprehensive guidance. The experimental results demonstrate that EMP-Net can
57#
發(fā)表于 2025-3-31 09:54:25 | 只看該作者
58#
發(fā)表于 2025-3-31 14:47:32 | 只看該作者
59#
發(fā)表于 2025-3-31 17:42:12 | 只看該作者
,POA: Pre-training Once for?Models of?All Sizes,r downstream tasks. Remarkably, the elastic student facilitates the simultaneous pre-training of multiple models with different sizes, which?also acts as an additional ensemble of models of various sizes to enhance representation learning. Extensive experiments, including k-nearest neighbors, linear
60#
發(fā)表于 2025-3-31 23:10:51 | 只看該作者
,Taming Latent Diffusion Model for?Neural Radiance Field Inpainting,also found the commonly used pixel and perceptual losses are harmful in the NeRF inpainting task. Through rigorous experiments, our framework yields state-of-the-art NeRF inpainting results on various real-world scenes.
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