Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things

Research article (IET Signal Processing, 2023) · cited 15× · AI/ML
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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things

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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things is a scholarly article[1].

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  • Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things. Retrieved May 24, 2026, from https://4ort.xyz/entity/regionbased-fully-convolutional-networks-with-deformable-convolution-and-attention-fusion-for-steel-surface-defect-detec
MLA “Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/regionbased-fully-convolutional-networks-with-deformable-convolution-and-attention-fusion-for-steel-surface-defect-detec.
BibTeX @misc{4ortxyz_regionbased-fully-convolutional-networks-with-deformable-convolution-and-attention-fusion-for-steel-surface-defect-detec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things}}, year = {2026}, url = {https://4ort.xyz/entity/regionbased-fully-convolutional-networks-with-deformable-convolution-and-attention-fusion-for-steel-surface-defect-detec}, note = {Accessed: 2026-05-24}}
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