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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 08:56:07 | 只看該作者
52#
發(fā)表于 2025-3-30 12:27:51 | 只看該作者
https://doi.org/10.1007/978-3-031-73004-7artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer
53#
發(fā)表于 2025-3-30 20:25:54 | 只看該作者
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發(fā)表于 2025-3-30 20:49:35 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242338.jpg
55#
發(fā)表于 2025-3-31 04:32:31 | 只看該作者
https://doi.org/10.1007/978-3-030-97351-3ental tasks. Extensive experiments on three benchmark datasets validate that . consistently outperforms state-of-the-art FSCIL and prompt-based CIL methods in terms of both learning new classes and mitigating forgetting. Source code is available at ..
56#
發(fā)表于 2025-3-31 07:07:18 | 只看該作者
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發(fā)表于 2025-3-31 12:16:17 | 只看該作者
Alternative Comedy Now and Thenadversarial attacks, SOL achieved the best attack success rate across seven SOTA defense models. On GNN training, SOL discovered optimizers can outperform Adam on three different datasets. On BERT fine-tuning, SOL also outperformed AdamW on five benchmarks. The source code is available at ..
58#
發(fā)表于 2025-3-31 14:24:31 | 只看該作者
59#
發(fā)表于 2025-3-31 19:48:20 | 只看該作者
Qingquan Tony Zhang,Beibei Li,Danxia Xieble and plug-and-play approach without requiring modifications to the original weights of the language and vision models. Our pipeline is compatible with various language models and generative vision models, accommodating different structures. Within this framework, we demonstrate that incorporating
60#
發(fā)表于 2025-3-31 23:14:34 | 只看該作者
Qingquan Tony Zhang,Beibei Li,Danxia Xiey, reducing misdiagnosis by 40% and 25% in the real-world medical and natural image datasets, respectively. It also demonstrates compatibility with various pre-trained diffusion models. Code is available at ..
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