Abstract: In the past years, attention-based Transformers have swept across the field of computer vision, starting a new stage of backbones in semantic segmentation. Nevertheless, semantic ...
Abstract: Semantic segmentation is a fundamental task in computer vision, and it has various applications in fields such as robotic sensing, video surveillance, and autonomous driving. A major ...
This repo is used for recording, tracking, and benchmarking several recent transformer-based visual segmentation methods, as a supplement to our survey. If you find any work missing or have any ...
A powerful extension of the Large Multi-modal Model for generic (panoptic, instance, semantic) segmentation, referring segmentation and interactivate segmentation. Support joint training across ...
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