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 801850 of 895 papers

TitleStatusHype
Fast Pixel-Matching for Video Object SegmentationCode0
SegFlow: Joint Learning for Video Object Segmentation and Optical FlowCode0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
Fast Interactive Video Object Segmentation with Graph Neural NetworksCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Segment Anything Model for Zero-shot Single Particle Tracking in Liquid Phase Transmission Electron MicroscopyCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
Fast and Accurate Online Video Object Segmentation via Tracking PartsCode0
Exploiting Temporality for Semi-Supervised Video SegmentationCode0
Multi-Context Temporal Consistent Modeling for Referring Video Object SegmentationCode0
Self-supervised Amodal Video Object SegmentationCode0
Self-supervised Learning for Video Correspondence FlowCode0
Expression Prompt Collaboration Transformer for Universal Referring 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
Self-supervised Video Object SegmentationCode0
Borrowing from yourself: Faster future video segmentation with partial channel updateCode0
MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Efficient Video Object Segmentation via Network ModulationCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
Trusted Video Inpainting Localization via Deep Attentive Noise LearningCode0
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object SegmentationCode0
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video 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
DTOS: Dynamic Time Object Sensing with Large Multimodal ModelCode0
Boosting Video Object Segmentation based on Scale InconsistencyCode0
DMM-Net: Differentiable Mask-Matching Network for Video Object SegmentationCode0
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
Semantic Video Segmentation : Exploring Inference EfficiencyCode0
Two-Level Temporal Relation Model for Online Video Instance SegmentationCode0
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOSCode0
Semi-supervised Active Learning for Video Action DetectionCode0
Video Object Segmentation using Supervoxel-Based GerrymanderingCode0
Mask Selection and Propagation for Unsupervised Video Object SegmentationCode0
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) SettingCode0
Lucid Data Dreaming for Video Object SegmentationCode0
Separable Structure Modeling for Semi-supervised Video Object SegmentationCode0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
ALBA : Reinforcement Learning for Video Object SegmentationCode0
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video SegmentationCode0
SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised LearningCode0
Siamese Network with Interactive Transformer for Video Object SegmentationCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language QueryCode0
Delta Distillation for Efficient Video ProcessingCode0
Deep Common Feature Mining for Efficient Video Semantic SegmentationCode0
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance FieldsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TMANet-50mIoU80.3Unverified
2TDNet-50 [9]mIoU79.9Unverified
3DeltaDist-DDRNet-39mIoU79.9Unverified
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