深度监督对齐的零样本图像分类方法
曾素佳,庞善民,郝问裕

Zero-shot image classification method base on deep supervised alignment
Su-jia ZENG,Shan-min PANG,Wen-yu HAO
表 2 不同数据集上传统零样本分类准确率表现对比1)
Tab.2 Comparison of performance for ZSL on different dataset %
方法 A
CUB AWA1 AWA2 SUN APY
1)注:带“*”的实验数据由文献作者公开的源代码复现得到;“−”代表未测;表中其他算法的数据来自文献[21]公开的复现结果.
SAE[25] 33.3 53.0 54.1 40.3 8.3
CDL[7] 54.5 69.9 63.6 43.0
GAZSL[15] 55.8 68.2 70.2 61.3 41.1
DCN[16] 56.2 65.2 61.8 43.6
f-CLSWGAN[18] 57.3 68.2 60.8
FD-fGAN[19] 58.3 72.6 61.5
Rnet[6] 55.6 68.2 64.2 49.3* 39.8*
SARN[8] 53.8 68.0 64.2
TCN[10] 59.5 70.3 71.2 61.5 38.9
CRnet[11] 56.6* 69.1* 63.0* 61.4* 39.1*
DSAN 57.4 71.8 72.3 62.4 41.5