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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
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video 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
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation0
An Integrated Framework for Multi-Granular Explanation of Video SummarizationCode0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics0
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
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