Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”

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:( $N_{new}$ /( $N_{new}+ N_{old})) ^{\mathrm {1/2}}$ .

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Publication Details

Journal
IEEE Transactions on Neural Networks and Learning Systems
Published
2026-04-01
DOI
https://doi.org/10.1109/tnnls.2026.3664605
Primary Topic
Domain Adaptation and Few-Shot Learning
Type
article
Field-Weighted Citation Impact
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article

Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”

Ge Ma, Xiqi Li, Yu Liu
IEEE Transactions on Neural Networks and Learning Systems
Domain Adaptation and Few-Shot Learning
article

Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”

Ge Ma, Xiqi Li, Yu Liu
article en

Abstract

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:( $N_{new}$ /( $N_{new}+ N_{old})) ^{\mathrm {1/2}}$ .

IEEE Transactions on Neural Networks and Learning SystemsVol. 37(4)
Guangzhou University (CN), South China University of Technology (CN)
Openalex Percentile: Top 22%
Domain Adaptation and Few-Shot Learning
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