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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 110 of 42 papers

TitleStatusHype
UniVS: Unified and Universal Video Segmentation with Prompts as QueriesCode3
Tracking Anything with Decoupled Video SegmentationCode3
PVO: Panoptic Visual OdometryCode2
Context-Aware Video Instance SegmentationCode2
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical EnvironmentsCode2
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
Large-Scale Video Panoptic Segmentation in the Wild: A BenchmarkCode1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
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