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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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51#
發(fā)表于 2025-3-30 09:14:53 | 只看該作者
Allgemeinchirurgische Operationena high-quality Mobile-Spec dataset to support our research, and our experiments validate the effectiveness of Lr-MSI in the tone enhancement task. This work aims to establish a solid foundation for advancing spectral vision in mobile photography. The code is available at ..
52#
發(fā)表于 2025-3-30 15:10:02 | 只看該作者
Allgemeinchirurgische Operationenetter generalization, we employ a decoder-only overall architecture and propose a bilateral cross-attention block for efficient interactions between context and spatial tokens. SpatialFormer learns transferable image representations with explicit scene understanding, where the output spatial tokens
53#
發(fā)表于 2025-3-30 17:16:23 | 只看該作者
54#
發(fā)表于 2025-3-30 23:09:39 | 只看該作者
Schrittmacher und Defibrillatoren,ng the language model to naturally integrate the target concept in its generated response. We apply our technique to BLIP-2 and LLaVA for personalized image captioning and further show its applicability for personalized visual question-answering. Our experiments demonstrate our ability to generalize
55#
發(fā)表于 2025-3-31 02:30:15 | 只看該作者
Magenresektion und Gastrektomie,s state-of-the-art results in terms of speed and accuracy. To our knowledge, this work is the first to address the scalability of BA without initialization opening new venues for initialization-free structure-from-motion.
56#
發(fā)表于 2025-3-31 07:13:24 | 只看該作者
57#
發(fā)表于 2025-3-31 12:42:42 | 只看該作者
,Verb?nde und Boolesche Algebren,introduce a Query-Pool Regularization (QR) loss that regulates the relationship between the prompt query and the prompt pool to improve representation power. The QR loss is only applied during training time, so there is no computational overhead at inference from the QR loss. With the QR loss, our a
58#
發(fā)表于 2025-3-31 16:48:14 | 只看該作者
Die Leistungsfaktoren im Betriebsprozess while significantly reducing computational demands and achieving at least a 10x speedup. SpaceJAM sets a new standard for rapid and effective image alignment, making the process more accessible and efficient. Our code is available at: ..
59#
發(fā)表于 2025-3-31 19:27:00 | 只看該作者
60#
發(fā)表于 2025-4-1 00:57:50 | 只看該作者
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