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Video Panoptic Segmentation
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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.
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MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation
MGNiceNet: Unified Monocular Geometric Scene Understanding
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
Context-Aware Video Instance Segmentation
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation
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 Segmentation
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
An Integrated Framework for Multi-Granular Explanation of Video Summarization
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
DVIS++: Improved Decoupled Framework for Universal Video Segmentation
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics
Tracking Anything with Decoupled Video Segmentation
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
DVIS: Decoupled Video Instance Segmentation Framework
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs
TarViS: A Unified Approach for Target-based Video Segmentation
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation
Time-Space Transformers for Video Panoptic Segmentation
PVO: Panoptic Visual Odometry
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers
Merging Tasks for Video Panoptic Segmentation
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