Unsupervised Object Segmentation on DAVIS 2016
Metric: J score (higher is better)
Metric: J score (higher is better)
| # | Model↕ | J score▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | RCF (with Post-Processing) | 83 | No | Bootstrapping Objectness from Videos by Relaxed ... | 2023-04-17 | Code |
| 2 | RCF (without Post-Processing) | 80.9 | No | Bootstrapping Objectness from Videos by Relaxed ... | 2023-04-17 | Code |
| 3 | MOD | 73.9 | No | Motion-inductive Self-supervised Object Discover... | 2022-10-01 | - |
| 4 | OCLR | 72.1 | Yes | Segmenting Moving Objects via an Object-Centric ... | 2022-07-05 | Code |
| 5 | GWM | 71.2 | No | Guess What Moves: Unsupervised Video and Image S... | 2022-05-16 | - |
| 6 | EM | 69.8 | No | EM-driven unsupervised learning for efficient mo... | 2022-01-06 | Code |
| 7 | MG | 68.3 | No | Self-supervised Video Object Segmentation by Mot... | 2021-04-15 | - |
| 8 | SIMO | 67.8 | Yes | - | - | - |
| 9 | AMD | 57.8 | Yes | The Emergence of Objectness: Learning Zero-Shot ... | 2021-11-11 | Code |