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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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61#
發(fā)表于 2025-4-1 01:54:38 | 只看該作者
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發(fā)表于 2025-4-1 06:33:07 | 只看該作者
,Semi-supervised Segmentation of?Histopathology Images with?Noise-Aware Topological Consistency,true topological signals and become robust to noise. Extensive experiments on public histopathology image datasets show the superiority of our method, especially on topology-aware evaluation metrics. Code is available at ..
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發(fā)表于 2025-4-1 10:35:18 | 只看該作者
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發(fā)表于 2025-4-1 18:17:08 | 只看該作者
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發(fā)表于 2025-4-1 21:07:47 | 只看該作者
,MetaAT: Active Testing for?Label-Efficient Evaluation of?Dense Recognition Tasks,trates consistent and substantial performance improvements over five popular benchmarks compared with state-of-the-art methods. Notably, on the CityScapes dataset, MetaAT achieves a 1.36% error rate in performance estimation using only 0.07% of annotations, marking a . improvement over existing stat
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發(fā)表于 2025-4-1 23:32:19 | 只看該作者
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發(fā)表于 2025-4-2 06:18:55 | 只看該作者
,Unlocking the?Potential of?Federated Learning: The Symphony of?Dataset Distillation via?Deep Generarformed at the client level, to attempt to mitigate some of these challenges. In this paper, we propose a highly efficient FL dataset distillation framework on the . side, significantly reducing both the computational and communication demands on local devices while enhancing the clients’ privacy. U
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