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JMT-YOLO: Multi-task Domain Adaptation via Segmentation-Guided Consistency Learning
Domain adaptive object detection (DAOD) aims to reduce performance degradation due to distribution shifts between training (source) and testing (target) datasets. However, owing to insufficient modeling of fine-grained features and limited instance-level alignment, existing approaches become less ef
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