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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 2130 of 42 papers

TitleStatusHype
Time-Space Transformers for Video Panoptic Segmentation0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation0
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles0
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation0
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation0
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