SOTAVerified

Video Instance Segmentation

The goal of video instance segmentation is simultaneous detection, segmentation and tracking of instances in videos. In words, it is the first time that the image instance segmentation problem is extended to the video domain.

To facilitate research on this new task, a large-scale benchmark called YouTube-VIS, which consists of 2,883 high-resolution YouTube videos, a 40-category label set and 131k high-quality instance masks is built.

Papers

Showing 111–120 of 148 papers

TitleStatusHype
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Video Instance Segmentation by Instance Flow Assembly—0
Temporal RoI Align for Video Object Recognition—0
Real-time Human-Centric Segmentation for Complex Video ScenesCode1
Improving Video Instance Segmentation via Temporal Pyramid RoutingCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Prototypical Cross-Attention Networks for Multiple Object Tracking and SegmentationCode1
Tracking Instances as QueriesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CAVIS(VIT-L, Offline)mask AP57.1—Unverified
2DVIS-DAQ(VIT-L, Offline)mask AP57.1—Unverified
3DVIS++(VIT-L,Offline)mask AP53.4—Unverified
4GLEE-Promask AP50.4—Unverified
5DVIS(Swin-L, Offline)mask AP49.9—Unverified
6DVIS++(VIT-L, Online)mask AP49.6—Unverified
7UNINEXT (ViT-H, Online)mask AP49—Unverified
8DVIS(Swin-L, Online)mask AP47.1—Unverified
9CTVIS (Swin-L)mask AP46.9—Unverified
10RefineVIS (Swin-L, offline)mask AP46—Unverified
#ModelMetricClaimedVerifiedStatus
1CAVIS(ViT-L, Online)mask AP68.9—Unverified
2DVIS++(ViT-L, Online)mask AP67.7—Unverified
3DVISmask AP64.9—Unverified
4Tube-Linkmask AP64.6—Unverified
5MinVIS (Swin-L)mask AP61.6—Unverified
6Mask2Former (Swin-L)mask AP60.4—Unverified
7UniVS(Swin-L)mask AP60—Unverified
8MDQE(Swin-L)mask AP59.9—Unverified
9SeqFormer (Swin-L)mask AP59.3—Unverified
10DeVIS (Swin-L)mask AP57.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CAVIS(VIT-L, Offline)mask AP65.3—Unverified
2DVIS-DAQ(VIT-L, Offline)mask AP64.5—Unverified
3DVIS++(VIT-L, Offline)mask AP63.9—Unverified
4DVIS++(VIT-L, Online)mask AP62.3—Unverified
5RefineVIS (Swin-L, online)mask AP61.4—Unverified
6GRAtt-VIS (Swin-L)mask AP60.3—Unverified
7TarViS (Swin-L)mask AP60.2—Unverified
8DVIS(Swin-L)mask AP60.1—Unverified
9GenVIS (Swin-L)mask AP60.1—Unverified
10NOVIS (Swin-L)mask AP59.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DVIS++(VIT-L)mAP_L50.9—Unverified
2CAVIS (VIT-L)mAP_L48.6—Unverified
3CTVIS (Swin-L)mAP_L46.4—Unverified
4DVIS(Swin-L)mAP_L45.9—Unverified
5CTVIS (ResNet-50)mAP_L39.4—Unverified
6InstanceFormer (Swin)mAP_L26.3—Unverified
7InstanceFormer (Resnet-50)mAP_L24.8—Unverified
#ModelMetricClaimedVerifiedStatus
1PCANmMOTSA27.4—Unverified
2QDTrack-mots-fixmMOTSA23.5—Unverified
3QDTrack-motsmMOTSA22.5—Unverified
4MaskTrackRCNNmMOTSA12.3—Unverified
5STEm-SegmMOTSA12.2—Unverified
6SortIoUmMOTSA10.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VMT (Swin-L)Tube-Boundary AP44.8—Unverified
2SeqFormer (Swin-L)Tube-Boundary AP43.3—Unverified
3VMT (R101)Tube-Boundary AP32.5—Unverified
4VMT (R50)Tube-Boundary AP30.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Temporal ROI Alignmask AP38—Unverified
#ModelMetricClaimedVerifiedStatus
1MaskFreeVISAP55.3—Unverified