基于伪标签细化和语义对齐的异构域自适应

吴兰,崔全龙

Heterogeneous domain adaptation based on pseudo label refinement and semantic alignment

Lan WU,Quan-long CUI

表 2 不同方法在 Office+Caltech-256数据集上进行同域跨特征迁移的分类结果

Tab.2 Classification results of different methods for same domain cross-feature migration on Office+Caltech-256 dataset

方法 ${{\rm{Acc}}_ {{\rm{SD}}}} $/% ${{{\rm{Acc}}}_ {{\rm{DS}}}} $/% A→A C→C W→W 平均值 A→A C→C W→W 平均值 SVMt 88.66 77.31 89.32 85.10 43.03 30.15 55.28 42.82 NNt 90.00 79.56 91.42 86.99 42.82 31.33 60.87 45.01 MMDT 89.30 80.30 87.30 85.63 40.50 30.60 59.10 43.40 G-JDA 92.30 86.70 89.40 89.47 50.30 33.70 63.80 49.27 CDLS 91.70 81.80 95.20 89.57 46.40 31.80 63.10 47.10 STN 92.19 82.92 95.43 90.18 47.62 30.83 64.71 47.72 SSAN 92.45 87.01 96.66 92.04 52.91 37.24 69.81 53.32 LG 92.36 84.15 96.04 90.85 44.70 31.20 63.10 46.33 SDA-PPLS 92.85 87.34 96.31 92.17 54.88 33.18 71.72 53.26 本研究 93.70 89.03 97.29 93.34 54.40 39.09 72.83 55.44