paper-with-me

Unsupervised Video Object Segmentation 벤치마크

Unsupervised Video Object Segmentation on SegTrack v2

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Mean IoU

57.3 61.02 64.75 68.47 72.2 2017-04 2026-09 LVO — 57.3 (2017-04-19) LVO — 57.3 (2017-04-19) EpO+ — 70.9 (2019-09-29) EpO+ — 70.9 (2019-09-29) FrameSelect — 72.2 (2021-01-05) FrameSelect — 72.2 (2021-01-05) LVO — 57.3 (2017-04-19) EpO+ — 70.9 (2019-09-29) FrameSelect — 72.2 (2021-01-05)
RankModel Mean IoUJaccard (Mean) PaperCodeYear
1 FrameSelect 72.2– Mask Selection and Propagation for Unsupervised Video Object Segmentation vidit98/FrameSelect 2021
2 EpO+ 70.9– EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency mfaisal59/EpONet · mfaisal59/EpipolarScore · mfaisal59/RBSF 2019
3 LVO 57.3– Learning Video Object Segmentation with Visual Memory 2017
4 SSL-VOS –74.9 A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation ponimatkin/ssl-vos 2022
5 FrameSelect 72.2– Mask Selection and Propagation for Unsupervised Video Object Segmentation vidit98/FrameSelect 2021
6 EpO+ 70.9– EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency mfaisal59/EpONet · mfaisal59/EpipolarScore · mfaisal59/RBSF 2019
7 LVO 57.3– Learning Video Object Segmentation with Visual Memory 2017
8 SSL-VOS –74.9 A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation ponimatkin/ssl-vos 2022
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