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 126147 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
Show:102550
← PrevPage 6 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