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 3 不同数据集上广义零样本分类表现对比

Tab.3 Comparison of performance for GZSL on different datasets %

方法 CUB AWA1 AWA2 SUN APY U S H U S H U S H U S H U S H SAE[25] 7.8 54.0 13.6 1.8 77.1 3.5 1.1 82.2 2.2 8.8 18.0 11.8 0.4 80.9 0.9 DEM[12] 19.6 57.9 29.2 32.8 84.7 47.3 30.5 86.4 45.1 20.5 34.3 25.6 75.1 11.1 19.4 CDL[7] 23.5 55.2 32.9 28.1 73.5 40.6 − − − 21.5 34.7 26.5 19.8 48.6 28.1 GAZSL[15] 31.7 61.3 41.8 29.6 84.2 43.8 35.4 86.9 50.3 22.1 39.3 28.3 14.2 78.6 24.0 DCN[16] 28.4 60.7 38.7 25.5 84.2 39.1 − − − 25.5 37.0 30.2 14.2 75.0 23.9 SE-GZSL[17] 41.5 53.3 46.7 56.3 67.8 61.5 58.3 68.1 62.8 40.9 30.5 34.9 − − − f-CLSWGAN[18] 43.7 57.7 49.7 57.9 61.4 59.6 − − − 42.6 36.6 39.4 − − − FD-fGAN[19] 47.0 57.1 51.6 54.2 76.2 63.3 − − − 42.7 38.1 40.3 − − − Rnet[6] 38.1 61.1 47.0 31.4 91.3 46.7 30.0 93.4 45.3 14.0* 23.3* 17.5* 9.8* 62.5* 17.0* SARN[8] 37.4 64.6 47.1 33.1 90.8 48.5 35.9 92.9 51.8 − − − − − − TCN[10] 52.6 52.0 52.3 49.4 76.5 60.0 61.2 65.8 63.4 31.2 37.3 34.0 24.1 64.0 35.1 CRnet[11] 45.5 56.8 50.5 58.1 74.7 65.4 52.6 78.8 63.1 34.1 36.5 35.3 32.4 68.4 44.0 CPDN[9] 46.6 58.9 52.0 49.1 82.7 61.6 44.6 85.4 58.6 − − − − − − DRN[9] 46.9 58.8 52.2 50.1 81.4 62.1 44.9 85.3 58.8 − − − − − − DSAN 46.9 56.6 51.3 58.1 77.1 66.2 58.6 78.8 67.2 33.2 41.1 36.7 34.1 71.6 46.2