inscribe 发表于 2025-3-25 06:02:02

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fastness 发表于 2025-3-25 10:12:31

https://doi.org/10.1007/978-3-031-19818-2artificial intelligence; computer systems; computer vision; data security; databases; education; face reco

Enteropathic 发表于 2025-3-25 13:14:27

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ordain 发表于 2025-3-25 16:23:39

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裁决 发表于 2025-3-25 21:52:12

Conference proceedings 2022ning; 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..

滴注 发表于 2025-3-26 01:27:48

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Adrenal-Glands 发表于 2025-3-26 04:40:38

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Neutral-Spine 发表于 2025-3-26 09:15:30

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令人发腻 发表于 2025-3-26 13:57:50

V.S. Koroliuk,N. Limnios,I.V. SamoilenkodaAfford, that learns to perform very few test-time interactions for quickly adapting the affordance priors to more accurate instance-specific posteriors. We conduct large-scale experiments using the PartNet-Mobility dataset and prove that our system performs better than baselines. We will release our code and data upon paper acceptance.

圆桶 发表于 2025-3-26 20:21:26

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查看完整版本: Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app