Constituent
发表于 2025-3-30 08:51:38
Computer Vision – ECCV 2024978-3-031-73010-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
僵硬
发表于 2025-3-30 15:28:09
https://doi.org/10.1007/978-3-031-73010-8artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer
GULF
发表于 2025-3-30 16:33:09
978-3-031-73009-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
fabricate
发表于 2025-3-30 23:54:16
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爱好
发表于 2025-3-31 00:57:46
https://doi.org/10.1007/978-3-0348-6370-4nuous linguistic features through our proposed multimodal contrastive regression loss, which customizes adaptive weights for different negative samples. Furthermore, to better adapt to the labels for gaze estimation task, we propose a geometry-aware interpolation method to obtain more precise gaze e
全等
发表于 2025-3-31 07:33:46
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Essential
发表于 2025-3-31 11:17:55
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intertwine
发表于 2025-3-31 16:49:00
Angelika Dörfler-Dierken,Gerhard Kümmeldal alignment using the integrated representations, focusing on hard negatives to boost the learning of fine-grained cross-modal alignment. Third, comprehensive cross-modal alignment (C-CmA) extracts low- and high-level fashion information from the text and learns the semantic alignment to encourage
CRAMP
发表于 2025-3-31 18:03:42
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Flat-Feet
发表于 2025-3-31 23:56:03
Angelika Dörfler-Dierken,Gerhard Kümmelrt methods in terms of accuracy and speed, showing generalizability to both scenarios. It is robust to different image sizes and camera intrinsics, and can be deployed with low computing resources. Project page: ..