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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: 拿著錫
41#
發(fā)表于 2025-3-28 17:59:21 | 只看該作者
42#
發(fā)表于 2025-3-28 21:02:26 | 只看該作者
Christine Hartmann,Marcus Hillingerevent stream in a coarse-to-fine manner, while the EAF unit efficiently fuses frames with the event stream through a multi-scale design. Thanks to both units, EATER outperforms the full fine-tuning approach with parameter efficiency, as demonstrated by comprehensive experiments.
43#
發(fā)表于 2025-3-29 00:28:07 | 只看該作者
44#
發(fā)表于 2025-3-29 04:06:48 | 只看該作者
45#
發(fā)表于 2025-3-29 07:46:05 | 只看該作者
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發(fā)表于 2025-3-29 14:06:53 | 只看該作者
Hanna Zieschang,Dietmar Br?unige for this observation. Notably, models trained stably with these terms exhibit superior performance compared to prior FAT work. On this basis, we harness CO to achieve ‘a(chǎn)ttack obfuscation’, aiming to bolster model performance. Consequently, the models suffering from CO can attain optimal classifica
47#
發(fā)表于 2025-3-29 18:42:52 | 只看該作者
48#
發(fā)表于 2025-3-29 21:53:19 | 只看該作者
49#
發(fā)表于 2025-3-30 02:07:46 | 只看該作者
,Unsqueeze , Bottleneck to?Learn Rich Representations,n. Additionally, UDI performs competitively in low-shot image classification, improving the scalability of joint-embedding pipelines. Various visualizations and ablation studies are presented to further elucidate the mechanisms behind UDI. Our source code is available at ..
50#
發(fā)表于 2025-3-30 04:13:11 | 只看該作者
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