AWhat changed
Combined shared-MLP channel attention using average/max pooling with a subsequent spatial-attention map, providing a plug-in convolutional feature-refinement module.
Scientific scope
Combined shared-MLP channel attention using average/max pooling with a subsequent spatial-attention map, providing a plug-in convolutional feature-refinement module. Extends channel attention and prior spatial gating rather than inventing all neural attention. Sequential channel-then-spatial gating is distinct from SE-only recalibration and token-pair self-attention. Lightweight overhead and accuracy improvements are benchmark-dependent. General visual recognition work is in scope despite one author's company affiliation.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Extends channel attention and prior spatial gating rather than inventing all neural attention. Sequential channel-then-spatial gating is distinct from SE-only recalibration and token-pair self-attention. Lightweight overhead and accuracy improvements are benchmark-dependent. General visual recognition work is in scope despite one author's company affiliation.
Contributors
- Source-listed authors and technical contributors · SCIENCE: 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.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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