Unsupervised Video Object Segmentation On 4
Metrics
F-measure (Mean)
Ju0026F
Jaccard (Mean)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F-measure (Mean) | Ju0026F | Jaccard (Mean) |
|---|---|---|---|
| video-instance-segmentation-with-a-propose | 73.8 | 70.4 | 67.0 |
| learning-unsupervised-video-object | 59.5 | 57.5 | 55.5 |
| rvos-end-to-end-recurrent-network-for-video | 45.7 | 41.2 | 36.8 |
| stem-seg-spatio-temporal-embeddings-for | 67.8 | 64.7 | 61.5 |
| pyramid-dilated-deeper-convlstm-for-video | 57.0 | 55.1 | 53.2 |
| alba-reinforcement-learning-for-video-object | 60.2 | 58.4 | 56.6 |
| matnet-motion-attentive-transition-network | 60.4 | 58.6 | 56.7 |
| tracking-anything-with-decoupled-video | 76.4 | 73.4 | 70.4 |
| unovost-unsupervised-offline-video-object | 69.3 | 67.9 | 66.4 |
| mast-a-memory-augmented-self-supervised | 67.6 | 65.5 | 63.3 |