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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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31#
發(fā)表于 2025-3-26 21:02:29 | 只看該作者
32#
發(fā)表于 2025-3-27 04:28:43 | 只看該作者
33#
發(fā)表于 2025-3-27 06:02:58 | 只看該作者
,HAT: History-Augmented Anchor Transformer for?Online Temporal Action Localization,UMOS and MUSES). Results show that our model outperforms state-of-the-art approaches significantly on PREGO datasets and achieves comparable or slightly superior performance on non-PREGO datasets, underscoring the importance of leveraging long-term history, especially in procedural and egocentric action scenarios. Code is available at: ..
34#
發(fā)表于 2025-3-27 09:33:40 | 只看該作者
35#
發(fā)表于 2025-3-27 16:31:20 | 只看該作者
https://doi.org/10.1007/978-3-642-24683-8rent architectures on ImageNet, CityScapes, and ADE20K show that our method consistently improves model test-time performance. Additionally, it complements existing test-time augmentation techniques to provide further performance gains.
36#
發(fā)表于 2025-3-27 19:46:03 | 只看該作者
,Leveraging Temporal Contextualization for?Video Action Recognition,odule processes context tokens to generate informative prompts in the text modality. Extensive experiments in zero-shot, few-shot, base-to-novel, and fully-supervised action recognition validate the effectiveness of our model. Ablation studies for TC and VP support our design choices. Our project page with the source code is available at ..
37#
發(fā)表于 2025-3-28 01:38:53 | 只看該作者
,Deep Nets with?Subsampling Layers Unwittingly Discard Useful Activations at?Test-Time,rent architectures on ImageNet, CityScapes, and ADE20K show that our method consistently improves model test-time performance. Additionally, it complements existing test-time augmentation techniques to provide further performance gains.
38#
發(fā)表于 2025-3-28 04:13:01 | 只看該作者
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; object recognition; motion estimation..
39#
發(fā)表于 2025-3-28 08:10:54 | 只看該作者
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinf
40#
發(fā)表于 2025-3-28 13:51:12 | 只看該作者
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