SOTAVerified

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
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic SegmentationCode1
Large-Scale Video Panoptic Segmentation in the Wild: A BenchmarkCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic SegmentationCode1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
An Integrated Framework for Multi-Granular Explanation of Video SummarizationCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.