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 101125 of 147 papers

TitleStatusHype
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object AlignmentCode0
Robust and Efficient Memory Network for Video Object Segmentation0
RPT: Learning Point Set Representation for Siamese Visual Tracking0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation0
Bilateral Space Video Segmentation0
Video Object Segmentation with Language Referring Expressions0
Video Object Segmentation Without Temporal Information0
Memory-Efficient Continual Learning Object Segmentation for Long Video0
Semantically-Guided Video Object Segmentation0
Video Propagation Networks0
Video Segmentation via Object Flow0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation0
Spatial-Temporal Multi-level Association for Video Object Segmentation0
An Efficient 3D CNN for Action/Object Segmentation in Video0
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation0
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation0
Learning Position and Target Consistency for Memory-based Video Object Segmentation0
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation0
Global Motion Understanding in Large-Scale Video Object Segmentation0
Fully Connected Object Proposals for Video Segmentation0
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation0
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation0
Towards Good Practices for Video Object Segmentation0
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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