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 501–550 of 895 papers

TitleStatusHype
An end-to-end generative framework for video segmentation and recognition—0
Appearance-Based Refinement for Object-Centric Motion Segmentation—0
Approximate Policy Iteration for Budgeted Semantic Video Segmentation—0
Approximating DTW with a convolutional neural network on EEG data—0
Architecture Search of Dynamic Cells for Semantic Video Segmentation—0
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s—0
A spatio-temporal network for video semantic segmentation in surgical videos—0
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras—0
Automatic Dance Video Segmentation for Understanding Choreography—0
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium—0
Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection—0
Automatic Real-time Background Cut for Portrait Videos—0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
Beyond Semantic Image Segmentation : Exploring Efficient Inference in Video—0
Bilateral Space Video Segmentation—0
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning—0
BoLTVOS: Box-Level Tracking for Video Object Segmentation—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
Breaking the "Object" in Video Object Segmentation—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
Budget-Aware Deep Semantic Video Segmentation—0
CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection—0
Can Ground Truth Label Propagation from Video help Semantic Segmentation?—0
Causal Video Object Segmentation From Persistence of Occlusions—0
Classifier Based Graph Construction for Video Segmentation—0
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation—0
Click Carving: Segmenting Objects in Video with Point Clicks—0
ClickTrack: Towards Real-time Interactive Single Object Tracking—0
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF—0
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Coherent Loss: A Generic Framework for Stable Video Segmentation—0
Coherent Parametric Contours for Interactive Video Object Segmentation—0
Collaborative Attention Memory Network for Video Object Segmentation—0
Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation—0
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation—0
Complementary Segmentation of Primary Video Objects with Reversible Flows—0
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation—0
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries—0
Context Propagation from Proposals for Semantic Video Object Segmentation—0
Convolutional Gated Recurrent Networks for Video Segmentation—0
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net—0
Correlation-aware active learning for surgery video segmentation—0
Creatures great and SMAL: Recovering the shape and motion of animals from video—0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track—0
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All datasetsCityscapes valCamVidVSPWLaRSMultispectral Video Semantic Segmentation

Benchmark Results

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