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 51–100 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 Segmentation—0
Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation—0
Global Motion Understanding in Large-Scale Video Object Segmentation—0
Spatial-Temporal Multi-level Association for Video Object Segmentation—0
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution—0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Memory-Efficient Continual Learning Object Segmentation for Long Video—0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation—0
TrickVOS: A Bag of Tricks for Video Object Segmentation—0
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object SegmentationCode0
Robust and Efficient Memory Network for Video Object Segmentation—0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation—0
Flow-guided Semi-supervised Video Object Segmentation—0
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation—0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation—0
Pixel-Level Equalized Matching for Video Object Segmentation—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
Region Aware Video Object Segmentation with Deep Motion Modeling—0
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation—0
Collaborative Attention Memory Network for Video Object Segmentation—0
Boosting Video Object Segmentation based on Scale InconsistencyCode0
Adaptive Memory Management for Video Object SegmentationCode0
Siamese Network with Interactive Transformer for Video Object SegmentationCode0
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation—0
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation—0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation—0
Learning Position and Target Consistency for Memory-based Video Object Segmentation—0
Separable Structure Modeling for Semi-supervised Video Object SegmentationCode0
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object AlignmentCode0
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation—0
PMVOS: Pixel-Level Matching-Based Video Object Segmentation—0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2J&F90.7—Unverified
2Cutie+ (base)J&F90.5—Unverified
3ISVOS (BL30K, MS)J&F89.8—Unverified
4XMem (BL30K, MS)J&F89.5—Unverified
5ISVOS (MS)J&F88.6—Unverified
6ISVOS (BL30K)J&F88.2—Unverified
7XMem (MS)J&F88.2—Unverified
8Cutie+ (base, MEGA)J&F88.1—Unverified
9JIMDJ&F88.1—Unverified
10Cutie (base)J&F87.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinB-AOST (L'=3, MS)J&F93—Unverified
2SwinB-AOTv2-L (MS)J&F93—Unverified
3SwinB-DeAOT-LJ&F92.9—Unverified
4XMem (MS)J&F92.7—Unverified
5SwinB-AOTv2-LJ&F92.4—Unverified
6SwinB-AOST (L'=3)J&F92.4—Unverified
7R50-DeAOT-LJ&F92.3—Unverified
8R50-AOST (L'=3)J&F92.1—Unverified
9R50-AOST (L'=2)J&F92—Unverified
10DeAOT-LJ&F92—Unverified
#ModelMetricClaimedVerifiedStatus
1Cutie+ (base, MEGA)J&F88.1—Unverified
2Cutie (base, MEGA)J&F86.1—Unverified
3Cutie+ (base)J&F85.9—Unverified
4SwinB-AOST (L'=3, MS)J&F84.7—Unverified
5SwinB-AOTv2-LJ&F84.5—Unverified
6JIMD-R50J&F83.9—Unverified
7XMem (BL30K, MS)J&F83.7—Unverified
8DEVAJ&F83.2—Unverified
9XMem (MS)J&F83.1—Unverified
10SwinB-DeAOT-LJ&F82.8—Unverified