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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 2642 of 42 papers

TitleStatusHype
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
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation0
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation0
Time-Space Transformers for Video Panoptic Segmentation0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles0
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers0
Merging Tasks for Video Panoptic Segmentation0
Learning to Associate Every Segment for Video Panoptic Segmentation0
STEP: Segmenting and Tracking Every PixelCode0
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