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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
Tube-Link: A Flexible Cross Tube Framework for Universal Video SegmentationCode1
TarViS: A Unified Approach for Target-based Video SegmentationCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationCode1
Large-Scale Video Panoptic Segmentation in the Wild: A BenchmarkCode1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic SegmentationCode1
Video Panoptic SegmentationCode1
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects0
LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training0
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