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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 3140 of 42 papers

TitleStatusHype
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
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