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 401450 of 895 papers

TitleStatusHype
Dual Prototype Attention for Unsupervised Video Object SegmentationCode1
LVOS: A Benchmark for Long-term Video Object SegmentationCode1
Robust Online Video Instance Segmentation with Track QueriesCode0
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance0
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments0
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object MixingCode1
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks0
Two-Level Temporal Relation Model for Online Video Instance SegmentationCode0
Self-supervised Amodal Video Object SegmentationCode0
Decoupling Features in Hierarchical Propagation for Video Object SegmentationCode2
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle0
Global Spectral Filter Memory Network for Video Object SegmentationCode1
Self-supervised Video Representation Learning with Motion-Aware Masked AutoencodersCode1
Motion-inductive Self-supervised Object Discovery in Videos0
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object RelationsCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence RewardCode1
A Simple and Powerful Global Optimization for Unsupervised Video Object SegmentationCode1
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationCode2
Unsupervised Video Object Segmentation via Prototype Memory NetworkCode1
Pixel-Level Equalized Matching for Video Object Segmentation0
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object SegmentationCode1
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut0
Hierarchical Reinforcement Learning Based Video Semantic Coding for Segmentation0
Visual Subtitle Feature Enhanced Video Outline Generation0
Efficient Heterogeneous Video Segmentation at the Edge0
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-MaximizationCode1
Two-Stream Networks for Object Segmentation in Videos0
Per-Clip Video Object SegmentationCode1
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation0
Multi-Attention Network for Compressed Video Referring Object SegmentationCode1
Region Aware Video Object Segmentation with Deep Motion Modeling0
Mining Relations among Cross-Frame Affinities for Video Semantic SegmentationCode1
Semantic-Aware Fine-Grained CorrespondenceCode1
In Defense of Online Models for Video Instance SegmentationCode2
Adversarial Pixel Restoration as a Pretext Task for Transferable PerturbationsCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Personalized PCA: Decoupling Shared and Unique FeaturesCode0
Learning Quality-aware Dynamic Memory for Video Object SegmentationCode1
MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology0
Tackling Background Distraction in Video Object SegmentationCode1
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelCode3
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
SiamMask: A Framework for Fast Online Object Tracking and SegmentationCode4
Towards Robust Referring Video Object Segmentation with Cyclic Relational ConsensusCode1
Towards Robust Video Object Segmentation with Adaptive Object CalibrationCode1
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation0
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation0
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation0
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Benchmark Results

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