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SotA/Computer Vision/Panoptic Segmentation/VIPSeg

Panoptic Segmentation on VIPSeg

Metric: STQ (higher is better)

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#Model↕STQ▼Extra DataPaperDate↕Code
1UniVS(Swin-L)58.2YesUniVS: Unified and Universal Video Segmentation ...2024-02-28Code
2CAVIS(VIT-L)56.1NoContext-Aware Video Instance Segmentation2024-07-03Code
3DVIS++(VIT-L)56NoDVIS++: Improved Decoupled Framework for Univers...2023-12-20Code
4DVIS(Swin-L)55.3NoDVIS: Decoupled Video Instance Segmentation Fram...2023-06-06Code
5TarViS (Swin-L)52.9YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code
6DEVA (Mask2Former - SwinB)52.2YesTracking Anything with Decoupled Video Segmentat...2023-09-07Code
7Tube-Link(Swin-base)49.4NoTube-Link: A Flexible Cross Tube Framework for U...2023-03-22Code
8TarViS (Swin-T)45.3YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code
9TarViS (ResNet-50)43.1YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code