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 76–100 of 147 papers

TitleStatusHype
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation—0
Make One-Shot Video Object Segmentation Efficient AgainCode1
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency LossCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region RefinementCode1
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
PMVOS: Pixel-Level Matching-Based Video Object Segmentation—0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
RPT: Learning Point Set Representation for Siamese Visual Tracking—0
Kernelized Memory Network for Video Object SegmentationCode1
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
Self-supervised Video Object SegmentationCode0
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
CRVOS: Clue Refining Network for Video Object SegmentationCode0
Fast Video Object Segmentation using the Global Context ModuleCode1
UnOVOST: Unsupervised Offline Video Object Segmentation and TrackingCode1
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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