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 126–147 of 147 papers

TitleStatusHype
Fast and Accurate Online Video Object Segmentation via Tracking PartsCode0
Efficient Video Object Segmentation via Network ModulationCode0
DMM-Net: Differentiable Mask-Matching Network for Video Object SegmentationCode0
CRVOS: Clue Refining Network for Video Object SegmentationCode0
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object SegmentationCode0
RANet: Ranking Attention Network for Fast Video Object SegmentationCode0
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningCode0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
PReMVOS: Proposal-generation, Refinement and Merging for Video Object SegmentationCode0
Lucid Data Dreaming for Video Object SegmentationCode0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
Adaptive Memory Management for Video Object SegmentationCode0
RVOS: End-to-End Recurrent Network for Video Object SegmentationCode0
SegFlow: Joint Learning for Video Object Segmentation and Optical FlowCode0
Self-supervised Learning for Video Correspondence FlowCode0
Self-supervised Video Object SegmentationCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting FramesCode0
Separable Structure Modeling for Semi-supervised Video Object SegmentationCode0
Siamese Network with Interactive Transformer for Video Object SegmentationCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
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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