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 251300 of 895 papers

TitleStatusHype
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence SegmentationCode1
Self-supervised Object Tracking with Cycle-consistent Siamese NetworksCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
SEGIC: Unleashing the Emergent Correspondence for In-Context SegmentationCode1
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static ImagesCode1
Segment Everything Everywhere All at OnceCode1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training CostCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Guided Interactive Video Object Segmentation Using Reliability-Based Attention MapsCode1
Guided Slot Attention for Unsupervised Video Object SegmentationCode1
Hierarchical Memory Matching Network for Video Object SegmentationCode1
SASVi - Segment Any Surgical VideoCode1
Collaborative Video Object Segmentation by Foreground-Background IntegrationCode1
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural NetworksCode1
Global Spectral Filter Memory Network for Video Object SegmentationCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
1st Place Solution for 5th LSVOS Challenge: Referring Video Object SegmentationCode1
High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous FlightCode1
Learning to Learn Better for Video Object SegmentationCode1
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese NetworksCode1
In-N-Out Generative Learning for Dense Unsupervised Video SegmentationCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
Self-Supervised Video Object Segmentation by Motion-Aware Mask PropagationCode1
Full-Duplex Strategy for Video Object SegmentationCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationCode1
Kernelized Memory Network for Video Object SegmentationCode1
Towards Open-Vocabulary Video Semantic SegmentationCode1
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
Co-attention Propagation Network for Zero-Shot Video Object SegmentationCode0
Annolid: Annotate, Segment, and Track Anything You NeedCode0
Fast Pixel-Matching for Video Object SegmentationCode0
Fast Interactive Video Object Segmentation with Graph Neural NetworksCode0
Fast and Accurate Online Video Object Segmentation via Tracking PartsCode0
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context InferenceCode0
An Image Processing Pipeline for Camera Trap Time-Lapse RecordingsCode0
Robust Online Video Instance Segmentation with Track QueriesCode0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
Rethinking the Evaluation of Video SummariesCode0
Revisiting Click-based Interactive Video Object SegmentationCode0
ClickVOS: Click Video Object SegmentationCode0
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric RepresentationCode0
Exploiting Temporality for Semi-Supervised Video SegmentationCode0
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-MemoryCode0
ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025Code0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationCode0
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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