mIoU: 70.0
Papers with Code · CC BY-SA 4.0
Unsupervised Domain Adaptation
Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.
<span class="description-source">Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation </span>
논문
mIoU: 75.6
mIoU: 58.8
mIoU: 50.9
mAP: 30.7rank-1: 62.7rank-5: 74.5rank-10: 79.0
mIoU: 61.2
mIoU: 47.3
mIoU: 74.4
mAP: 45.2rank-1: 72.2rank-5: 82.9rank-10: 86.3
mIoU: 68.3
mIoU: 71.0
mIoU: 59.7
mIoU: 73.8
mAP: 10.2rank-1: 30.2rank-5: 41.5rank-10: 46.8
mAP: 16.0rank-1: 42.5rank-5: 55.9rank-10: 61.5
mIoU: 75.9
mAP: 23.3rank-1: 50.1rank-5: 63.9rank-10: 69.8
mIoU: 69.4
mIoU: 50.3
mIoU: 57.98
mAP: 26.5rank-1: 53.1rank-5: 65.8rank-10: 70.5
mAP: 13.3rank-1: 32.2rank-5: -rank-10: 51.2
mIoU: 70.3
mIoU: 63.9
mAP: 25.6rank-1: 54.4rank-5: 66.4rank-10: 71.3
mAP: 34.5rank-1: 63.9rank-5: 75.3rank-10: 79.6
mAP: 16.2rank-1: 43.6rank-5: 54.3rank-10: 58.9
mIoU: 45.5