OV2VSS, a CLIP-based baseline with spatial-temporal fusion, random-frame enhancement, and video text encoding, segments novel categories in video and beats image-based methods on VSPW and Cityscapes zero-shot.
ISNet: Integrate image-level and semantic-level context for semantic seg- mentation,
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Towards Open-Vocabulary Video Semantic Segmentation
OV2VSS, a CLIP-based baseline with spatial-temporal fusion, random-frame enhancement, and video text encoding, segments novel categories in video and beats image-based methods on VSPW and Cityscapes zero-shot.