Interactive Segmentation On Berkeley
Metrics
NoC@90
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | NoC@90 |
|---|---|
| simpleclick-interactive-image-segmentation | 1.75 |
| f-brs-rethinking-backpropagating-refinement | 4.34 |
| ucp-net-unstructured-contour-points-for | 2.70 |
| mst-adaptive-multi-scale-tokens-guided | 1.50 |
| content-aware-multi-level-guidance-for | 5.60 |
| cfr-icl-cascade-forward-refinement-with | 1.46 |
| simpleclick-interactive-image-segmentation | 2.09 |
| reviving-iterative-training-with-mask | 3.22 |
| focalclick-towards-practical-interactive | 1.48 |
| reviving-iterative-training-with-mask | 2.26 |
| interactive-image-segmentation-via | 5.08 |
| edgeflow-achieving-practical-interactive | 2.4 |
| continuous-adaptation-for-interactive-object | 4.94 |
| intention-aware-feature-propagation-network | 2.12 |