In this work, we tackle the problem of domain generalization for object detection, specifically focusing on the scenario where only a single source domain is available. We propose an effective ...
Abstract: Open-vocabulary object detection (OVD) aims to detect novel object concepts by mining region-word correspondences from image-text pairs, yet current methods often produce false ...
Abstract: Unsupervised domain adaptive object detection methods aim to transfer knowledge from the label-sufficient domain to the unlabeled domain. Most existing works minimize domain disparity by ...
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