Compressed Wavelet Tensor Attention Capsule Network

Table 2

Classification accuracies (%) of six texture classification methods on three texture datasets.

Method	Datasets
	CUReT	DTD	KTH-TIPS2-b
Wavelet CNNs	78.95 ± 0.85	59.8 ± 0.92	74.2 ± 1.21
T-CNN	99.5 ± 0.4	55.8 ± 0.8	73.2 ± 2.2
CapsNets	92.4 ± 0.98	70.98 ± 1.03	73.83 ± 1.12
FV-CNN	95.7 ± 1.08	75.5 ± 0.8	81.5 ± 2.0
SI-LCvMSP	96.44 ± 0.75	76.7 ± 0.78	96.1 ± 1.02
CWTACapsNet	99.7 ± 0.22	81.52 ± 0.47	97.15 ± 0.55