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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 895 papers

TitleStatusHype
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence LearningCode1
Active Boundary Loss for Semantic SegmentationCode1
Global Knowledge Calibration for Fast Open-Vocabulary SegmentationCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
Pyramid Scene Parsing NetworkCode1
Referring Video Object Segmentation via Language-aligned Track SelectionCode1
Contrastive Transformation for Self-supervised Correspondence LearningCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
Mask Propagation for Efficient Video Semantic SegmentationCode1
SSTVOS: Sparse Spatiotemporal Transformers for Video Object SegmentationCode1
Stochastic positional embeddings improve masked image modelingCode1
Efficient Multimodal Semantic Segmentation via Dual-Prompt LearningCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
Efficient Regional Memory Network for Video Object SegmentationCode1
Full-Duplex Strategy for Video Object SegmentationCode1
A Simple and Powerful Global Optimization for Unsupervised Video Object SegmentationCode1
General and Task-Oriented Video SegmentationCode1
CamSAM2: Segment Anything Accurately in Camouflaged VideosCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Generic Event Boundary Detection: A Benchmark for Event SegmentationCode1
PolyFormer: Referring Image Segmentation as Sequential Polygon GenerationCode1
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware FusionCode1
CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video SegmentationCode1
Concatenated Masked Autoencoders as Spatial-Temporal LearnerCode1
Modeling Motion with Multi-Modal Features for Text-Based Video SegmentationCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Flow-based Video Segmentation for Human Head and ShouldersCode1
Polygonal Point Set TrackingCode1
Motion-Attentive Transition for Zero-Shot Video Object SegmentationCode1
Per-Clip Video Object SegmentationCode1
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object RelationsCode1
Event-assisted Low-Light Video Object SegmentationCode1
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object SegmentationCode1
Collaborative Video Object Segmentation by Foreground-Background IntegrationCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
Multi-Granularity Video Object SegmentationCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic PerspectiveCode1
Multispectral Video Semantic Segmentation: A Benchmark Dataset and BaselineCode1
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence RewardCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical FlowCode1
Physarum Powered Differentiable Linear Programming Layers and ApplicationsCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Show:102550
← PrevPage 5 of 18Next →
All datasetsCityscapes valCamVidVSPWLaRSMultispectral Video Semantic Segmentation

Benchmark Results

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