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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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樓主: Gullet
21#
發(fā)表于 2025-3-25 04:21:58 | 只看該作者
22#
發(fā)表于 2025-3-25 09:00:31 | 只看該作者
23#
發(fā)表于 2025-3-25 13:35:17 | 只看該作者
Altersabh?ngige Makuladegenerationm in the intrinsic domain. The intrinsic model allows us to train separate networks to extend the dynamic range in the shading domain and to recover lost color details in the albedo domain. We show that dividing the problem into two simpler sub-tasks improves performance in a wide variety of photographs.
24#
發(fā)表于 2025-3-25 16:01:52 | 只看該作者
25#
發(fā)表于 2025-3-25 22:40:52 | 只看該作者
Gerontologische Einstellungsforschung,nation – dubbed CAMP (Category Adaptation Meets Projected distillation) – significantly improves the balance between learning new information and retaining old. CAMP exhibits superior performance across several GCCD and Class Incremental Learning scenarios. The code is available on ..
26#
發(fā)表于 2025-3-26 03:16:42 | 只看該作者
Intrinsic Single-Image HDR Reconstruction,m in the intrinsic domain. The intrinsic model allows us to train separate networks to extend the dynamic range in the shading domain and to recover lost color details in the albedo domain. We show that dividing the problem into two simpler sub-tasks improves performance in a wide variety of photographs.
27#
發(fā)表于 2025-3-26 08:04:53 | 只看該作者
28#
發(fā)表于 2025-3-26 08:43:28 | 只看該作者
,Category Adaptation Meets Projected Distillation in?Generalized Continual Category Discovery,nation – dubbed CAMP (Category Adaptation Meets Projected distillation) – significantly improves the balance between learning new information and retaining old. CAMP exhibits superior performance across several GCCD and Class Incremental Learning scenarios. The code is available on ..
29#
發(fā)表于 2025-3-26 14:27:27 | 只看該作者
30#
發(fā)表于 2025-3-26 17:37:50 | 只看該作者
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