Video Object Segmentation On Youtube
Metrics
mIoU
Results
Performance results of various models on this benchmark
Model Name | mIoU | Paper Title | Repository |
|---|---|---|---|
| FEELVOS | 0.821 | FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation | |
| MaskTrack | 0.726 | Learning Video Object Segmentation from Static Images | |
| Spatiotemporal CNN | 0.796 | Spatiotemporal CNN for Video Object Segmentation | |
| OnAVOS | 0.774 | Online Adaptation of Convolutional Neural Networks for Video Object Segmentation | - |
| OSVOS | 0.783 | One-Shot Video Object Segmentation | |
| MRFCNN | 0.784 | CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF | - |
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