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 101125 of 147 papers

TitleStatusHype
Siam R-CNN: Visual Tracking by Re-DetectionCode0
Fast Video Object Segmentation via Dynamic Targeting Network0
AGSS-VOS: Attention Guided Single-Shot Video Object SegmentationCode0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
Towards Good Practices for Video Object Segmentation0
DMM-Net: Differentiable Mask-Matching Network for Video Object SegmentationCode0
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningCode0
Joint-task Self-supervised Learning for Temporal CorrespondenceCode0
RANet: Ranking Attention Network for Fast Video Object SegmentationCode0
An Efficient 3D CNN for Action/Object Segmentation in Video0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
Self-supervised Learning for Video Correspondence FlowCode0
MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationCode0
Spatiotemporal CNN for Video Object SegmentationCode0
Video Object Segmentation using Space-Time Memory NetworksCode1
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting FramesCode0
Fast video object segmentation with Spatio-Temporal GANs0
Learning Correspondence from the Cycle-Consistency of TimeCode0
RVOS: End-to-End Recurrent Network for Video Object SegmentationCode0
FEELVOS: Fast End-to-End Embedding Learning for Video Object SegmentationCode0
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
A Generative Appearance Model for End-to-end Video Object SegmentationCode0
VideoMatch: Matching based Video Object Segmentation0
YouTube-VOS: Sequence-to-Sequence Video Object SegmentationCode1
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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