Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

Aromatic

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,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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,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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,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