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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
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
STEP: Segmenting and Tracking Every PixelCode0
LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation0
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics0
Learning to Associate Every Segment for Video Panoptic Segmentation0
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
Slot-VPS: Object-centric Representation Learning 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
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