Abstract: Zero-shot semantic segmentation continues to face challenges in effectively handling unseen object classes, despite its critical applications in medical imaging, autonomous driving, and ...
Abstract: Multimodal cross-city semantic segmentation aims to adapt a network trained on multiple labeled source domains (MSDs) from one city to multiple unlabeled target domains (MTDs) in another ...
[2026-01-26] We are happy to announce that DGFusion was accepted in the IEEE Robotics and Automation Letters. We provide weights for DGFusion trained on MUSES and DeLiVER datasets. With the flag MODEL ...
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