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Pailung at TITAS 2023

Pailung at TITAS 2023
knittingindustry.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from knittingindustry.com Daily Mail and Mail on Sunday newspapers.

T Ai Pei , Hualian Xian , Bianca Yeh , Taipei Nangang Exhibition Center , Knit Beyond Boundarie , Marketing Engineering Specialist Bianca , Smart Knitting , Fabric Defect Detection , Nangang Exhibition Center , Nangang District ,

Pailung helps shape the future at ITMA 2023

Pailung helps shape the future at ITMA 2023
knittingindustry.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from knittingindustry.com Daily Mail and Mail on Sunday newspapers.

T Ai Pei , Bianca Yeh , Pailung Alterknit , Jamescc Wang , Pailung Machinery Mill Co Ltd , Pailung Machinery Mill Co , Pailung Open Innovation Lab , Pailung Machinery Mill , Fiera Milano Rho , High Pile , Cosy Collection , Great Pacific , Defect Detection , Fabric Defect Detection , Knitting Fabric Management System , Pailung Online Management System , Open Innovation Lab , Knit Beyond Boundaries ,

"CACFNet: Fabric defect detection via context-aware attention cascaded " by Zhoufeng Liu, Bo Tian et al.

Fabric defect detection plays an irreplaceable role in the quality control of the textile manufacturing industry, but it is still a challenging task due to the diversity and complexity of defects and environmental factors. Visual saliency models imitating the human vision system can quickly determine the defect regions from the complex texture background. However, most visual saliency-based methods still suffer from incomplete predictions owing to the variability of fabric defects and low contrast with the background. In this paper, we develop a context-aware attention cascaded feedback network for fabric defect detection to achieve more accurate predictions, in which a parallel context extractor is designed to characterize the multi-scale contextual information. Moreover, a top-down attention cascaded feedback module was devised adaptively to select the important multi-scale complementary information and then transmit it to an adjacent shallower layer to compensate for the inconsisten ....

Attention Cascaded Feedback , Fabric Defect Detection , Eature Refinement , Ulti Level Loss Function , Arallel Context Extractor , Isual Saliency ,