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
Fast Video Object Segmentation via Dynamic Targeting Network0
Fast video object segmentation with Spatio-Temporal GANs0
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching0
Flow-guided Semi-supervised Video Object Segmentation0
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation0
Fully Connected Object Proposals for Video Segmentation0
Global Motion Understanding in Large-Scale Video Object Segmentation0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation0
Learning Position and Target Consistency for Memory-based Video Object Segmentation0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation0
Memory-Efficient Continual Learning Object Segmentation for Long Video0
Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation0
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation0
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation0
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation0
Online Video Object Segmentation via Convolutional Trident Network0
Pixel-Level Equalized Matching for Video Object Segmentation0
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks0
PMVOS: Pixel-Level Matching-Based Video Object Segmentation0
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation0
Region Aware Video Object Segmentation with Deep Motion Modeling0
Robust and Efficient Memory Network for Video Object Segmentation0
RPT: Learning Point Set Representation for Siamese Visual Tracking0
Semantically-Guided Video Object Segmentation0
Spatial-Temporal Multi-level Association for Video Object Segmentation0
Show:102550
← PrevPage 4 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