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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 142 of 42 papers

TitleStatusHype
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects0
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical EnvironmentsCode2
LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training0
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
Context-Aware Video Instance SegmentationCode2
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic SegmentationCode1
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
UniVS: Unified and Universal Video Segmentation with Prompts as QueriesCode3
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics0
Tracking Anything with Decoupled Video SegmentationCode3
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation0
Tube-Link: A Flexible Cross Tube Framework for Universal Video SegmentationCode1
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs0
TarViS: A Unified Approach for Target-based Video SegmentationCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation0
Time-Space Transformers for Video Panoptic Segmentation0
PVO: Panoptic Visual OdometryCode2
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationCode1
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
Large-Scale Video Panoptic Segmentation in the Wild: A BenchmarkCode1
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation0
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
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
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic SegmentationCode1
Video Panoptic SegmentationCode1
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