基于自监督任务的多源无监督域适应法
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吴兰,王涵,李斌全,李崇阳,孔凡士
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Multi-source unsupervised domain adaption method based on self-supervised task
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Lan WU,Han WANG,Bin-quan LI,Chong-yang LI,Fan-shi KONG
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表 1 Office-31数据集上的准确率比较分析 |
Tab.1 Comparison and analysis of accuracy on Office-31 data set |
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标准 | 方法 | A/% | AW-D | AD-W | DW-A | 平均值 | 单源迁移 | DAN[2] | 99.0 | 96.0 | 54.0 | 83.0 | 单源迁移 | ADDA[3] | 99.4 | 95.3 | 54.6 | 83.1 | 单源迁移 | RevGrad[4] | 99.2 | 96.4 | 53.4 | 83.0 | 源域组合 | DAN[2] | 98.8 | 96.2 | 54.9 | 83.3 | 源域组合 | JAN[5] | 99.4 | 95.9 | 54.6 | 83.3 | 源域组合 | MCD[6] | 99.5 | 96.2 | 54.4 | 83.4 | 源域组合 | RevGrad[4] | 98.8 | 96.2 | 54.6 | 83.2 | 多源迁移 | DCTN[7] | 99.6 | 96.9 | 54.9 | 83.8 | 多源迁移 | M3SDA[10] | 99.4 | 96.2 | 55.4 | 83.7 | 多源迁移 | MDAN[8] | 99.2 | 95.4 | 55.2 | 83.3 | 多源迁移 | MDDA[11] | 99.2 | 97.1 | 56.2 | 84.2 | 多源迁移 | 本文方法 | 99.6 | 97.2 | 56.4 | 84.4 |
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