Domain Adaptation On Office 31
评估指标
Average Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Average Accuracy |
|---|---|
| supervised-domain-adaptation-were-we-doing | 81.63 |
| open-set-domain-adaptation-theoretical-bound | 85.4 |
| confidence-regularized-self-training | 86.8 |
| unsupervised-domain-adaption-harnessing | 94.4 |
| discriminative-adversarial-domain-adaptation | 89 |
| generate-to-adapt-aligning-domains-using | 86.5 |
| patch-mix-transformer-for-unsupervised-domain | 95.3 |
| correlation-aware-adversarial-domain | 78.3 |
| cluster-alignment-with-a-teacher-for | 80.1 |
| looking-back-at-labels-a-class-based-domain | 78.5 |
| do-we-really-need-to-access-the-source-data | 88.6 |
| cdtrans-cross-domain-transformer-for | 92.6 |
| fixbi-bridging-domain-spaces-for-unsupervised | 91.4 |
| backprop-induced-feature-weighting-for | 90.5 |
| sf-da-2-source-free-domain-adaptation-through | 89.9 |
| 190510748 | 73.5 |
| looking-back-at-labels-a-class-based-domain | 78.5 |
| d-sne-domain-adaptation-using-stochastic | 90.01 |
| free-lunch-for-domain-adversarial-training-1 | 90.4 |
| deep-residual-learning-for-image-recognition | 76.1 |
| modified-distribution-alignment-for-domain | 89.8 |
| supervised-domain-adaptation-were-we-doing | 82.77 |
| safe-self-refinement-for-transformer-based | 93.5 |
| unsupervised-domain-adaptation-via-structured | 89.6 |
| reusing-the-task-specific-classifier-as-a | 90.4 |
| contrastive-adaptation-network-for | 90.6 |
| contrastive-vicinal-space-for-unsupervised | 91.8 |
| multi-adversarial-domain-adaptation | 85.2 |
| global-local-regularization-via | 87.8 |
| supervised-domain-adaptation-were-we-doing | 82.17 |
| source-free-domain-adaptation-via-avatar | 89.9 |
| dual-adversarial-domain-adaptation | 88 |
| bridging-adversarial-and-statistical-domain | 90.0 |
| attending-to-discriminative-certainty-for-1 | 89.5 |
| unsupervised-domain-adaptation-an-adaptive | 87.1 |
| transfer-learning-with-dynamic-distribution | 85.7 |
| feature-fusion-transferability-aware | 96.0 |
| curriculum-based-dropout-discriminator-for | 79.5 |
| gradual-source-domain-expansion-for | 91.7 |
| entropy-minimization-vs-diversity | 89.2 |