Image To Image Translation On Gtav To
評価指標
mIoU
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | mIoU |
|---|---|
| class-balanced-pixel-level-self-labeling-for | 60.8 |
| g2l-a-global-to-local-alignment-method-for | 59.7 |
| context-aware-mixup-for-domain-adaptive | 55.2 |
| content-consistent-matching-for-domain | 49.9 |
| context-aware-mixup-for-domain-adaptive | 70.0 |
| advent-adversarial-entropy-minimization-for | 44.8 |
| deliberated-domain-bridging-for-domain | 62.7 |
| unsupervised-domain-adaptation-for-semantic | 47.0 |
| very-deep-convolutional-networks-for-large | 41.3 |
| sepico-semantic-guided-pixel-contrast-for | 70.3 |
| cross-region-domain-adaptation-for-class | 58.6 |
| pipa-pixel-and-patch-wise-self-supervised | 71.7 |
| deep-residual-learning-for-image-recognition | 41.7 |
| procst-boosting-semantic-segmentation-using | 69.4 |
| exploring-high-quality-target-domain | 62.0 |
| prototypical-pseudo-label-denoising-and | 57.5 |
| pipa-pixel-and-patch-wise-self-supervised | 75.6 |
| bidirectional-learning-for-domain-adaptation | 41.3 |
| hrda-context-aware-high-resolution-domain | 73.8 |
| daformer-improving-network-architectures-and | 68.3 |
| mic-masked-image-consistency-for-context | 75.9 |
| smoothing-matters-momentum-transformer-for | 63.9 |