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

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Michael A. Mullen,John R. Pedersen However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advancing the field. While there are many metrics available to evaluate audio and visual content separately, there is a lack of metrics that offer a quantita
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David Moore,Jeffrey C. Lord,Susan M. Smithhe format of low-resolution radar point clouds and usually under an open-space single-room setting. In this paper, we scale up indoor radar data collection using multi-view high-resolution radar heatmap in a multi-day, multi-room, and multi-subject setting, with an emphasis on the diversity of envir
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Luis Alonso-Ovalle,Paula Menéndez-Benitoc segmentation failed and show how recently proposed robust . backbones can be used to obtain adversarially robust semantic segmentation models with up to six times less training time for . and the more challenging .. The associated code and robust models are available at ..
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,De-confusing Pseudo-labels in Source-Free Domain Adaptation,fectiveness of our approach when combined with several source-free domain adaptation methods: SHOT, SHOT++, and AaD. We obtain state-of-the-art results on three domain adaptation datasets: VisDA, DomainNet, and OfficeHome.
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Conference proceedings 2025nt learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..
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