What is recorded here?
Replaced local linear filters by shared nonlinear micro-MLPs and used global averaging of final feature maps for classification.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits CNNs/MLPs and pooling; specific contribution is their local micro-network/global-readout design, not invention of every1×1convolution or all averaging. Feature-map confidence/interpretability language is architectural motivation, not calibrated semantic probabilities or universal interpretability.
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People and systems
Min Lin; Qiang Chen; Shuicheng Yan
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Network In Network: local micro-networks and global average pooling
Replaced local linear filters by shared nonlinear micro-MLPs and used global averaging of final feature maps for classification.
Scientific scope
Inherits CNNs/MLPs and pooling; specific contribution is their local micro-network/global-readout design, not invention of every1×1convolution or all averaging. Feature-map confidence/interpretability language is architectural motivation, not calibrated semantic probabilities or universal interpretability.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Min Lin; Qiang Chen; Shuicheng Yan
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.