现代 发表于 2025-3-26 21:23:21

Conference proceedings 2025orcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..

惰性气体 发表于 2025-3-27 03:40:29

https://doi.org/10.1007/978-1-4684-6945-5creating their NeRF. Our plug-and-play property ensures NeRF creators can flexibly choose NeRF variants without excessive modifications. Leveraging our newly designed progressive distillation, we demonstrate performance on par with several leading-edge neural rendering methods. Our project is available at: ..

anagen 发表于 2025-3-27 09:12:15

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除草剂 发表于 2025-3-27 12:59:39

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积极词汇 发表于 2025-3-27 15:14:49

https://doi.org/10.1007/978-1-4684-6945-5g (CLIP). However, directly incorporating CLIP in forgery detection poses challenges, given its lack of specific prompts and forgery consciousness. To overcome these challenges, we tailor the CLIP model for forgery detection and localization leveraging a noise-assisted prompt learning framework. Thi

小鹿 发表于 2025-3-27 21:21:00

Foundations for behaviour logiccerns related to privacy, licensing, and inherent biases. Synthesizing data is one of the promising ways to solve these issues, yet pre-training solely on synthetic data has its own challenges. In this paper, we introduce an effective self-supervised learning framework for videos that leverages read

obscurity 发表于 2025-3-28 01:14:35

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讥讽 发表于 2025-3-28 02:10:20

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假装是我 发表于 2025-3-28 09:09:17

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渗透 发表于 2025-3-28 11:21:55

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查看完整版本: Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic