Unsupervised Video Object Segmentation On 12
Metrics
J
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | J |
|---|---|
| treating-motion-as-option-to-reduce-motion | 71.1 |
| unsupervised-video-object-segmentation-with-2 | 70.5 |
| treating-motion-as-option-with-output | 73.1 |
| pyramid-dilated-deeper-convlstm-for-video | 65.5 |
| motion-attentive-transition-for-zero-shot | 69.0 |
| zero-shot-video-object-segmentation-via-1 | 70.8 |
| reciprocal-transformations-for-unsupervised | 70.1 |
| treating-motion-as-option-to-reduce-motion | 71.5 |
| treating-motion-as-option-with-output | 73.5 |
| adaptive-multi-source-predictor-for-zero-shot | 75.0 |
| improving-unsupervised-video-object-1 | 75.1 |
| domain-alignment-and-temporal-aggregation-for | 73.7 |
| see-more-know-more-unsupervised-video-object-1 | 70.5 |
| learning-motion-appearance-co-attention-for | 71.1 |
| learning-unsupervised-video-object | 69.7 |
| treating-motion-as-option-with-output | 73.0 |