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Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”
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DOI：10.1109/TNNLS.2026.3664605.png)
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Abstract
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This addresses typesetting errors in [1]. The typesetting errors and their corrections are listed as follows. 1)On page 277, below (2):“where $E$ denote s...”Corrected to:“where $E$ denotes...”2)On page 277, below (2):“The input T is projected...”Corrected to:“The input $E$ is projected...”3)On page 278, (10): \begin{equation*} \Psi _{\mathrm {strip}}\left ({{ \mathrm {x} }}\right)=\left [{{ \Phi _{\mathrm {strip}}^{1}\left ({{ \mathrm {x} }}\right)\vert \vert \ldots \vert {\mathrm {\vert \Phi }}_{\mathrm {strip}}^{\mathrm {S}}\left ({{ \mathrm {x} }}\right) }}\right ]\end{equation*} Corrected to: \begin{equation*} \Psi _{\mathrm {strip}}\left ({{ \mathrm {x} }}\right)=\left [{{ \Psi _{\mathrm {strip}}^{1}\left ({{ \mathrm {x} }}\right)\vert \vert \ldots \vert {\mathrm {\vert \Psi }}_{\mathrm {strip}}^{\mathrm {S}}\left ({{ \mathrm {x} }}\right) }}\right ].\end{equation*} 4)On page 278, below (15):(( $N_{new}$ / $N_{new}+ N_{old})) ^{\mathrm {1/2}}$ Corrected to:( $N_{new}$ /( $N_{new}+ N_{old})) ^{\mathrm {1/2}}$ .
Keywords:
Protocols
HTTP
Artificial intelligence
Incremental learning
Neural networks
Learning (artificial intelligence)
Learning systems
Computational and artificial intelligence
Machine learning
Typesetting
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