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 401–450 of 895 papers

TitleStatusHype
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal InformationCode0
Anchor Diffusion for Unsupervised Video Object SegmentationCode0
Weakly Supervised Energy-Based Learning for Action SegmentationCode0
Vanishing-Point-Guided Video Semantic Segmentation of Driving ScenesCode0
Temporal-aware Hierarchical Mask Classification for Video Semantic SegmentationCode0
A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
NewsNet: A Novel Dataset for Hierarchical Temporal SegmentationCode0
Exploiting Temporality for Semi-Supervised Video SegmentationCode0
An Image Processing Pipeline for Camera Trap Time-Lapse RecordingsCode0
Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature RefinementCode0
Video State-Changing Object SegmentationCode0
MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationCode0
Temporal Transductive Inference for Few-Shot Video Object SegmentationCode0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object SegmentationCode0
When SAM2 Meets Video Shadow and Mirror DetectionCode0
DTOS: Dynamic Time Object Sensing with Large Multimodal ModelCode0
Borrowing from yourself: Faster future video segmentation with partial channel updateCode0
Fully Convolutional Networks for Semantic SegmentationCode0
Fast Interactive Video Object Segmentation with Graph Neural NetworksCode0
Learning Unsupervised Video Object Segmentation Through Visual AttentionCode0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
Video Decomposition Prior: A Methodology to Decompose Videos into Layers—0
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos—0
VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos—0
Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies—0
Video Instance Segmentation Tracking With a Modified VAE Architecture—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
VideoMatch: Matching based Video Object Segmentation—0
Video Object of Interest Segmentation—0
Video Object Segmentation and Tracking: A Survey—0
Video Object Segmentation by Learning Location-Sensitive Embeddings—0
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions—0
Video Object Segmentation Using Global and Instance Embedding Learning—0
Video Object Segmentation using Tracked Object Proposals—0
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track—0
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation—0
Video Object Segmentation with Language Referring Expressions—0
Video Object Segmentation Without Temporal Information—0
Video Propagation Networks—0
Video Salient Object Detection Using Spatiotemporal Deep Features—0
Video Salient Object Detection via Contrastive Features and Attention Modules—0
VideoSAM: Open-World Video Segmentation—0
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network—0
Video Segmentation via Diffusion Bases—0
Video Segmentation via Multiple Granularity Analysis—0
Video Segmentation via Object Flow—0
Show:102550
← PrevPage 9 of 18Next →
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