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 601650 of 895 papers

TitleStatusHype
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models0
Shifted Chunk Transformer for Spatio-Temporal Representational Learning0
Unsupervised Domain Adaptation for Video Semantic Segmentation0
MeNToS: Tracklets Association with a Space-Time Memory Network0
Fast Pixel-Matching for Video Object SegmentationCode0
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
Video Object Segmentation Using Global and Instance Embedding Learning0
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation0
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos0
Self-supervised Video Object Segmentation by Motion Grouping0
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation0
Learning Position and Target Consistency for Memory-based Video Object Segmentation0
Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography0
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
Novel tile segmentation scheme for omnidirectional video0
Fast Interactive Video Object Segmentation with Graph Neural NetworksCode0
Separable Structure Modeling for Semi-supervised Video Object SegmentationCode0
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network0
VideoClick: Video Object Segmentation with a Single Click0
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos0
Mask Selection and Propagation for Unsupervised Video Object SegmentationCode0
Local Memory Attention for Fast Video Semantic SegmentationCode0
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures0
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object AlignmentCode0
Deep Transport Network for Unsupervised Video Object Segmentation0
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation0
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation0
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal InformationCode0
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections0
Learning Representations from Audio-Visual Spatial Alignment0
Highway Driving Dataset for Semantic Video Segmentation0
Actor and Action Modular Network for Text-based Video Segmentation0
Reducing the Annotation Effort for Video Object Segmentation Datasets0
Semantic video segmentation for autonomous driving0
Coherent Loss: A Generic Framework for Stable Video Segmentation0
Learning to Sort Image Sequences via Accumulated Temporal Differences0
Real-time Localized Photorealistic Video Style Transfer0
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation0
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence MatchingCode0
PMVOS: Pixel-Level Matching-Based Video Object Segmentation0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline0
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping0
Curriculum Learning for Recurrent Video Object SegmentationCode0
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation0
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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