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Video Panoptic Segmentation

Video Panoptic Segmentation is a computer vision task that extends panoptic segmentation by incorporating temporal dimension. That is, given a video sequence, the goal is to predict the semantic class of each pixel while consistently tracking object instances. Here, the pixels belonging to the same object instance should be assigned the same instance ID throughout the video sequence.

Papers

Showing 1120 of 42 papers

TitleStatusHype
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation0
An Integrated Framework for Multi-Granular Explanation of Video SummarizationCode0
UniVS: Unified and Universal Video Segmentation with Prompts as QueriesCode3
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics0
Tracking Anything with Decoupled Video SegmentationCode3
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
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