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SotA/Computer Vision/Instance Segmentation/J-HMDB

Instance Segmentation on J-HMDB

Metric: Precision@0.7 (higher is better)

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#Model↕Precision@0.7▼Extra DataPaperDate↕Code
1SgMg (Video-Swin-B)0.714YesSpectrum-guided Multi-granularity Referring Vide...2023-07-25Code
2SOC (Video-Swin-B)0.711YesSOC: Semantic-Assisted Object Cluster for Referr...2023-05-26Code
3SOC (Video-Swin-T)0.627NoSOC: Semantic-Assisted Object Cluster for Referr...2023-05-26Code
4MTTR (w=10)0.616NoEnd-to-End Referring Video Object Segmentation w...2021-11-29Code
5VLIDE0.586NoDeeply Interleaved Two-Stream Encoder for Referr...2022-03-30-
6MTTR (w=8)0.57NoEnd-to-End Referring Video Object Segmentation w...2021-11-29Code
7ClawCraneNet0.566NoClawCraneNet: Leveraging Object-level Relation f...2021-03-19-
8HINet0.542No---
9RefVOS0.392No---
10CMSA+CFSA0.389NoReferring Segmentation in Images and Videos with...2021-02-09-
11Hui et al.0.378NoCollaborative Spatial-Temporal Modeling for Lang...2021-05-14-
12CMPC-V0.371NoCross-Modal Progressive Comprehension for Referr...2021-05-15Code
13AAMN0.36NoActor and Action Modular Network for Text-based ...2020-11-02-
14PRPE0.319No---
15CMDy0.316No---
16ACGA0.287No--Code
17VT-Capsule0.283No---
18Gavrilyuk et al. (Optical flow)0.264NoActor and Action Video Segmentation from a Sente...2018-03-20Code
19Gavrilyuk et al.0.173NoActor and Action Video Segmentation from a Sente...2018-03-20Code
20Li et al.0.103No---
21Hu et al.0.085NoSegmentation from Natural Language Expressions2016-03-20Code