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 3 不同方法在 Office+Caltech-256数据集上进行异域跨特征迁移的分类结果（SURF→DeCAF6)

Tab.3 Classification results of different methods for heterogeneous domain cross-feature migration on Office+Caltech-256 dataset (SURF→DeCAF6)

方法 Acc% A→C A→W A→D C→A C→D C→W W→A W→C W→D 平均值 SVMt 79.64 89.34 92.60 89.13 92.60 89.34 89.13 79.64 92.60 87.68 NNt 81.03 91.13 92.99 89.60 92.99 91.13 89.60 81.03 92.99 88.69 MMDT 75.62 89.28 91.65 87.06 91.46 89.11 87.00 75.44 91.77 86.49 CDLS 78.73 91.57 94.45 86.34 90.43 88.60 87.51 77.30 92.72 87.52 SGW 79.88 90.26 93.43 89.03 93.43 90.26 89.02 79.85 93.43 88.73 G-JDA 86.60 94.09 90.67 92.49 88.62 92.64 92.28 84.82 95.87 90.90 TNT 85.79 91.26 92.04 92.35 92.67 92.98 92.99 86.28 94.09 91.17 STN 88.21 96.68 96.42 93.03 96.06 96.38 93.11 87.22 96.38 93.72 SSAN 88.30 96.31 97.00 93.16 97.44 95.87 93.54 88.18 97.64 94.17 SDA-PPLS 86.29 95.42 95.68 92.16 95.42 95.62 91.15 85.40 97.24 92.71 本研究 89.07 97.17 98.03 93.49 98.27 96.67 93.95 89.56 98.58 94.98