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SotA/Computer Vision/Panoptic Segmentation/VIPSeg

Panoptic Segmentation on VIPSeg

Metric: VPQ (higher is better)

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#Model↕VPQ▼Extra DataPaperDate↕Code
1CAVIS(VIT-L)58.5NoContext-Aware Video Instance Segmentation2024-07-03Code
2DVIS++(VIT-L)58NoDVIS++: Improved Decoupled Framework for Univers...2023-12-20Code
3MaXTron (ConvNeXtV2-L)58NoA Simple Video Segmenter by Tracking Objects Alo...2023-11-30Code
4DVIS(Swin-L)57.6NoDVIS: Decoupled Video Instance Segmentation Fram...2023-06-06Code
5MaXTron (ConvNeXt-L)57.1NoA Simple Video Segmenter by Tracking Objects Alo...2023-11-30Code
6DEVA (Mask2Former - SwinB)55YesTracking Anything with Decoupled Video Segmentat...2023-09-07Code
7Tube-Link(Swin-base)50.4NoTube-Link: A Flexible Cross Tube Framework for U...2023-03-22Code
8UniVS(Swin-L)49.3YesUniVS: Unified and Universal Video Segmentation ...2024-02-28Code
9TarViS (Swin-L)48YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code
10MaXTron (ResNet-50)46.7NoA Simple Video Segmenter by Tracking Objects Alo...2023-11-30Code
11TarViS (Swin-T)35.8YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code
12TarViS (ResNet-50)33.5YesTarViS: A Unified Approach for Target-based Vide...2023-01-06Code