Video Semantic Segmentation
321 papers with code • 5 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Video Semantic Segmentation
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Libraries
Use these libraries to find Video Semantic Segmentation models and implementations
Cityscapes
CamVid
SegTrack-v2
VSPW
MOSE
ODMS
LaRS
Latest papers
arcjetCV: an open-source software to analyze material ablation
arcjetCV is an open-source Python software designed to automate time-resolved measurements of heatshield material recession and recession rates from arcjet test video footage.
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
In fact, static cues can sometimes interfere with temporal perception by overshadowing motion cues.
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries
Modern video segmentation methods adopt object queries to perform inter-frame association and demonstrate satisfactory performance in tracking continuously appearing objects despite large-scale motion and transient occlusion.
Towards Temporally Consistent Referring Video Object Segmentation
bo-miao/HTR
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Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visually similar objects.
Efficient Video Object Segmentation via Modulated Cross-Attention Memory
Recently, transformer-based approaches have shown promising results for semi-supervised video object segmentation.
PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model
zamling/psalm
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PSALM is a powerful extension of the Large Multi-modal Model (LMM) to address the segmentation task challenges.
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
We hypothesize that the latent representation learned from a pretrained generative T2V model encapsulates rich semantics and coherent temporal correspondences, thereby naturally facilitating video understanding.
Video Object Segmentation with Dynamic Query Modulation
zht8506/qmvos
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Storing intermediate frame segmentations as memory for long-range context modeling, spatial-temporal memory-based methods have recently showcased impressive results in semi-supervised video object segmentation (SVOS).
VideoMAC: Video Masked Autoencoders Meet ConvNets
nust-machine-intelligence-laboratory/videomac
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In this paper, we propose a new approach termed as \textbf{VideoMAC}, which combines video masked autoencoders with resource-friendly ConvNets.
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
minghanli/univs
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Despite the recent advances in unified image segmentation (IS), developing a unified video segmentation (VS) model remains a challenge.
