SOTAVerified

Semi-Supervised Video Object Segmentation

The semi-supervised scenario assumes the user inputs a full mask of the object(s) of interest in the first frame of a video sequence. Methods have to produce the segmentation mask for that object(s) in the subsequent frames.

Papers

Showing 5175 of 147 papers

TitleStatusHype
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
Kernelized Memory Network for Video Object SegmentationCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
A Transductive Approach for Video Object SegmentationCode1
Learning What to Learn for Video Object SegmentationCode1
Collaborative Video Object Segmentation by Foreground-Background IntegrationCode1
Learning Video Object Segmentation from Unlabeled VideosCode1
State-Aware Tracker for Real-Time Video Object SegmentationCode1
Learning Fast and Robust Target Models for Video Object SegmentationCode1
MAST: A Memory-Augmented Self-supervised TrackerCode1
Directional Deep Embedding and Appearance Learning for Fast Video Object SegmentationCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
UnOVOST: Unsupervised Offline Video Object Segmentation and TrackingCode1
Video Object Segmentation using Space-Time Memory NetworksCode1
YouTube-VOS: Sequence-to-Sequence Video Object SegmentationCode1
One-Shot Video Object SegmentationCode1
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation0
Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation0
Global Motion Understanding in Large-Scale Video Object Segmentation0
Spatial-Temporal Multi-level Association for Video Object Segmentation0
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Memory-Efficient Continual Learning Object Segmentation for Long Video0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation0
Show:102550
← PrevPage 3 of 6Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2J&F90.7Unverified
2Cutie+ (base)J&F90.5Unverified
3ISVOS (BL30K, MS)J&F89.8Unverified
4XMem (BL30K, MS)J&F89.5Unverified
5ISVOS (MS)J&F88.6Unverified
6ISVOS (BL30K)J&F88.2Unverified
7XMem (MS)J&F88.2Unverified
8Cutie+ (base, MEGA)J&F88.1Unverified
9JIMDJ&F88.1Unverified
10Cutie (base)J&F87.9Unverified
#ModelMetricClaimedVerifiedStatus
1SwinB-AOST (L'=3, MS)J&F93Unverified
2SwinB-AOTv2-L (MS)J&F93Unverified
3SwinB-DeAOT-LJ&F92.9Unverified
4XMem (MS)J&F92.7Unverified
5SwinB-AOTv2-LJ&F92.4Unverified
6SwinB-AOST (L'=3)J&F92.4Unverified
7R50-DeAOT-LJ&F92.3Unverified
8R50-AOST (L'=3)J&F92.1Unverified
9QDMNJ&F92Unverified
10DeAOT-LJ&F92Unverified
#ModelMetricClaimedVerifiedStatus
1Cutie+ (base, MEGA)J&F88.1Unverified
2Cutie (base, MEGA)J&F86.1Unverified
3Cutie+ (base)J&F85.9Unverified
4SwinB-AOST (L'=3, MS)J&F84.7Unverified
5SwinB-AOTv2-LJ&F84.5Unverified
6JIMD-R50J&F83.9Unverified
7XMem (BL30K, MS)J&F83.7Unverified
8DEVAJ&F83.2Unverified
9XMem (MS)J&F83.1Unverified
10SwinB-DeAOT-LJ&F82.8Unverified