Unsupervised Object Segmentation on CUB
76.9Jaccard IndexKyriazi et al. [55]
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Kyriazi et al. [55]2022.05 | 76.9 | — | — | |
| Kyriazi et al. [55]2022.05 | 76.9 | — | — | |
| Voynov et al.2022.05 | 71 | 94 | 80.7 | |
| Voynov et al.2022.05 | 71 | 94 | 80.7 | |
| Kyriazi et al. [56]2022.05 | 66.4 | 92.1 | 78.3 | |
| Kyriazi et al. [56]2022.05 | 66.4 | 92.1 | 78.3 | |
| GWM2022.05 | 64.6 | 93.5 | 80.9 | |
| GWMOptical flow network=ARFlow2022.05 | 64.6 | 93.5 | 80.9 | |
| GANSeg2022.05 | 62.9 | — | — | |
| DRC2022.05 | 56.4 | — | — | |
| OneGAN2022.05 | 55.5 | — | — | |
| UISB2022.05 | 44.2 | — | — | |
| ReDO2022.05 | 42.6 | 84.5 | — | |
| PertGAN2022.05 | 38 | — | — | |
| IIC-seg2022.05 | 36.5 | — | — | |
| WNetPost-processing=CRF, Pre-training=Supervised, Self-training=true2022.05 | 24.8 | — | — |