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Source-Free Domain Adaptation
Source-Free Domain Adaptation (SFDA) is a domain adaptation method in machine learning and computer vision where the goal is to adapt a pre-trained model to a new, target domain without access to the source domain data. This approach is advantageous in scenarios where sharing the source data is impractical due to privacy concerns, data size, or proprietary restrictions
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15개Cityscapes to Foggy CityscapesVisDA-2017InBreastPACSCityscapes to ACDCCityscapes to Dark ZurichGTA5 to CityscapesSYNTHIA-to-CityscapesSynLiDAR-to-SemanticKITTISynLiDAR-to-SemanticPOSSVIPER-to-CityscapesnuScenes-to-PandasetnuScenes-to-SemanticKITTInuScenes-to-SemanticPOSSnuScenes-to-Waymo Open Dataset