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 2650 of 147 papers

TitleStatusHype
Robust and Efficient Memory Network for Video Object Segmentation0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation0
Flow-guided Semi-supervised Video Object Segmentation0
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation0
Learning to Learn Better for Video Object SegmentationCode1
Decoupling Features in Hierarchical Propagation for Video Object SegmentationCode2
Global Spectral Filter Memory Network for Video Object SegmentationCode1
Pixel-Level Equalized Matching for Video Object Segmentation0
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-MaximizationCode1
Per-Clip Video Object SegmentationCode1
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation0
Region Aware Video Object Segmentation with Deep Motion Modeling0
Learning Quality-aware Dynamic Memory for Video Object SegmentationCode1
Tackling Background Distraction in Video Object SegmentationCode1
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelCode3
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
Collaborative Attention Memory Network for Video Object Segmentation0
Recurrent Dynamic Embedding for Video Object SegmentationCode1
Boosting Video Object Segmentation based on Scale InconsistencyCode0
Adaptive Memory Management for Video Object SegmentationCode0
Scalable Video Object Segmentation with Identification MechanismCode2
MixFormer: End-to-End Tracking with Iterative Mixed AttentionCode2
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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
8JIMDJ&F88.1Unverified
9Cutie+ (base, MEGA)J&F88.1Unverified
10Cutie (base)J&F87.9Unverified
#ModelMetricClaimedVerifiedStatus
1SwinB-AOTv2-L (MS)J&F93Unverified
2SwinB-AOST (L'=3, MS)J&F93Unverified
3SwinB-DeAOT-LJ&F92.9Unverified
4XMem (MS)J&F92.7Unverified
5SwinB-AOST (L'=3)J&F92.4Unverified
6SwinB-AOTv2-LJ&F92.4Unverified
7R50-DeAOT-LJ&F92.3Unverified
8R50-AOST (L'=3)J&F92.1Unverified
9SwinB-AOT-LJ&F92Unverified
10XMem (BL30K)J&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