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SotA/Computer Vision/Instance Segmentation/J-HMDB

Instance Segmentation on J-HMDB

Metric: Precision@0.5 (higher is better)

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#Model↕Precision@0.5▼Extra DataPaperDate↕Code
1SgMg (Video-Swin-B)0.972YesSpectrum-guided Multi-granularity Referring Vide...2023-07-25Code
2SOC (Video-Swin-B)0.969YesSOC: Semantic-Assisted Object Cluster for Referr...2023-05-26Code
3SOC (Video-Swin-T)0.947NoSOC: Semantic-Assisted Object Cluster for Referr...2023-05-26Code
4MTTR (w=10)0.939NoEnd-to-End Referring Video Object Segmentation w...2021-11-29Code
5MTTR (w=8)0.91NoEnd-to-End Referring Video Object Segmentation w...2021-11-29Code
6ClawCraneNet0.88NoClawCraneNet: Leveraging Object-level Relation f...2021-03-19-
7VLIDE0.874NoDeeply Interleaved Two-Stream Encoder for Referr...2022-03-30-
8HINet0.819No---
9CMPC-V0.813NoCross-Modal Progressive Comprehension for Referr...2021-05-15Code
10Hui et al.0.783NoCollaborative Spatial-Temporal Modeling for Lang...2021-05-14-
11AAMN0.773NoActor and Action Modular Network for Text-based ...2020-11-02-
12CMSA+CFSA0.764NoReferring Segmentation in Images and Videos with...2021-02-09-
13ACGA0.756No--Code
14CMDy0.742No---
15RefVOS0.731No---
16Gavrilyuk et al. (Optical flow)0.712NoActor and Action Video Segmentation from a Sente...2018-03-20Code
17Gavrilyuk et al.0.699NoActor and Action Video Segmentation from a Sente...2018-03-20Code
18VT-Capsule0.677No---
19Hu et al.0.633NoSegmentation from Natural Language Expressions2016-03-20Code
20Li et al.0.578No---
21PRPE0.572No---