eulogize 发表于 2025-3-25 04:21:30

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. They deal with topics such as computer vision; machine learning; deep neural networks; reinforceme

小争吵 发表于 2025-3-25 11:17:44

Conference proceedings 2025nt 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..

micronutrients 发表于 2025-3-25 14:35:44

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Communal 发表于 2025-3-25 17:31:13

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interrogate 发表于 2025-3-25 21:16:56

Die Stellungnahme des Kranken zur Krankheit reduces the trade-off between the two groundings. Our experiments demonstrate significant improvements from the original GLIGEN to the rewired version in the trade-off between textual grounding and spatial grounding. The project webpage is at ..

Comprise 发表于 2025-3-26 04:06:59

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开始没有 发表于 2025-3-26 05:05:30

,ReGround: Improving Textual and Spatial Grounding at No Cost, reduces the trade-off between the two groundings. Our experiments demonstrate significant improvements from the original GLIGEN to the rewired version in the trade-off between textual grounding and spatial grounding. The project webpage is at ..

certitude 发表于 2025-3-26 08:39:16

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GRUEL 发表于 2025-3-26 14:56:01

https://doi.org/10.1007/978-3-662-11111-6r goal is to utilize the powerful feature extraction capability of segment anything model (SAM) and make out-of-domain tuning to help SAM distinguish breast masses from background. To this end, we propose a novel model called ., which inherits the model architecture of SAM but makes improvements to

Statins 发表于 2025-3-26 18:55:48

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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