SOTAVerified

Video Semantic Segmentation

The goal of video semantic segmentation is to assign a predefined class to each pixel in all frames of a video. This requires the model not only to predict accurate segmentation masks but also to ensure that these masks remain temporally consistent across frames. This task has broad applications in areas such as autonomous driving, medical video analysis, and AR/VR.

Papers

Showing 351400 of 895 papers

TitleStatusHype
Adaptive Temporal Encoding Network for Video Instance-level Human ParsingCode0
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric RepresentationCode0
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context InferenceCode0
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object SegmentationCode0
ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025Code0
Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video SegmentationCode0
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningCode0
Deep Common Feature Mining for Efficient Video Semantic SegmentationCode0
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video SegmentationCode0
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency RelearningCode0
Robust Online Video Instance Segmentation with Track QueriesCode0
RANet: Ranking Attention Network for Fast Video Object SegmentationCode0
Implicit Motion-Compensated Network for Unsupervised Video Object SegmentationCode0
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object SegmentationCode0
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence MatchingCode0
PReMVOS: Proposal-generation, Refinement and Merging for Video Object SegmentationCode0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
Adaptive Memory Management for Video Object SegmentationCode0
Holistic Prototype Attention Network for Few-Shot VOSCode0
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance FieldsCode0
Personalized PCA: Decoupling Shared and Unique FeaturesCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
D3S -- A Discriminative Single Shot Segmentation TrackerCode0
Adaptive Masked Proxies for Few-Shot SegmentationCode0
Hierarchical Graph Pattern Understanding for Zero-Shot VOSCode0
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language QueryCode0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
Curriculum Learning for Recurrent Video Object SegmentationCode0
One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory NetworksCode0
Online Unsupervised Video Object Segmentation via Contrastive Motion ClusteringCode0
CRVOS: Clue Refining Network for Video Object SegmentationCode0
Object discovery and representation networksCode0
Object Instance Annotation With Deep Extreme Level Set EvolutionCode0
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video SegmentationCode0
NewsNet: A Novel Dataset for Hierarchical Temporal SegmentationCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Multi-Context Temporal Consistent Modeling for Referring Video Object SegmentationCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection DataCode0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall DetectionCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI SegmentationCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
Fully Convolutional Networks for Semantic SegmentationCode0
MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationCode0
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and MotionCode0
MASSeg : 2nd Technical Report for 4th PVUW MOSE TrackCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TMANet-50mIoU80.3Unverified
2DeltaDist-DDRNet-39mIoU79.9Unverified
3TDNet-50 [9]mIoU79.9Unverified
4PSPNet-101 [20]mIoU79.7Unverified
5PSPNet-50 [20]mIoU78.1Unverified
6LVS [12]mIoU76.8Unverified
7GRFP [15]mIoU73.6Unverified
8FCN-50 [14]mIoU70.1Unverified
9DFF [22]mIoU69.2Unverified
#ModelMetricClaimedVerifiedStatus
1TMANet-50Mean IoU76.5Unverified
2ETC-MobileNetMean IoU76.3Unverified
3TDNet-50Mean IoU76.2Unverified
4PSPNet-50Mean IoU76Unverified
5NetwarpMean IoU74.7Unverified
6GRFPMean IoU67.1Unverified
#ModelMetricClaimedVerifiedStatus
1DVIS++(VIT-L)mIoU63.8Unverified
2UniVS(Swin-L)mIoU59.8Unverified
3Tube-Link(Swin-large)mIoU59.6Unverified
4MRCFA(MiT-B5)mIoU49.9Unverified
5CFFM(MiT-B5)mIoU49.3Unverified
#ModelMetricClaimedVerifiedStatus
1WaSR-T (ResNet-101)Q60.1Unverified
2TMANet (ResNet-50)Q57.5Unverified
3CSANet (ResNet-101)Q49.1Unverified
#ModelMetricClaimedVerifiedStatus
1MVNet(DeepLabV3)mIoU54.52Unverified
2MVNet(PSPNet)mIoU54.36Unverified
3MVNet(FCN)mIoU53.9Unverified