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 76100 of 147 papers

TitleStatusHype
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation0
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 Segmentation0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
RPT: Learning Point Set Representation for Siamese Visual Tracking0
Kernelized Memory Network for Video Object SegmentationCode1
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching0
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&F90.7Unverified
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