Yarn-Dyed Fabric Defect Detection Based on U-Shaped Swin Transformer Auto-Encoder

Table 1. Distribution of yarn-dyed fabric samples
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Table 1. Distribution of yarn-dyed fabric samples
Dataset SL1 SL13 SP3 SP5 SP24 CL1
Defect-free 171 176 168 166 231 170
Defective 9 23 16 19 27 4

Table 2. Comparison of four evaluation indexes of four models

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Table 2. Comparison of four evaluation indexes of four models

Index	Model	SL1	SL13	SP3	SP5	SP24	CL1	Mean value
R_precision /%	DCAE	33.10	25.10	43.26	57.03	44.40	23.34	37.70
	MSDCAE	45.40	15.94	42.36	47.99	32.00	21.39	34.18
	UDCAE	61.17	10.46	30.48	42.48	24.27	29.94	33.13
	USTAE	67.72	37.70	67.36	62.75	58.62	55.03	58.20
R_recall /%	DCAE	73.14	15.80	48.36	64.03	60.69	90.74	58.79
	MSDCAE	62.66	12.57	49.20	60.29	45.65	65.23	49.27
	UDCAE	74.22	7.79	33.46	53.52	46.53	56.01	45.26
	USTAE	66.49	20.03	53.13	59.82	59.48	71.71	55.11
S_F1 /%	DCAE	41.50	17.14	42.46	55.84	48.15	36.79	40.31
	MSDCAE	51.61	11.77	41.64	48.19	34.42	31.84	36.58
	UDCAE	64.53	5.37	29.10	41.51	26.90	36.56	33.99
	USTAE	62.13	22.39	52.19	57.79	54.60	59.57	51.44
R_IoU /%	DCAE	29.42	12.77	30.83	39.89	34.18	23.03	28.35
	MSDCAE	39.42	8.56	29.94	33.34	24.39	19.53	25.86
	UDCAE	50.69	3.14	21.43	28.55	18.12	23.59	24.30
	USTAE	46.83	16.52	38.73	42.18	40.36	43.30	37.99

Table 3. Ablation experiment of the number of skip connection
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Table 3. Ablation experiment of the number of skip connection
Skip connection R_precision /% R_recall /% S_F1 /% R_IoU /%
0 52.41 50.16 46.81 34.53
1 55.44 51.50 49.31 36.69
2 53.91 50.48 48.02 35.74
3 58.20 55.11 51.44 37.99

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Yuanyuan Huang, Wenbo Xiong, Hongwei Zhang, Weiwei Zhang. Yarn-Dyed Fabric Defect Detection Based on U-Shaped Swin Transformer Auto-Encoder[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1215001

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