Claim · 2018-07-17 · publication · Stated in source · Supported

The paper proposes the Convolutional Block Attention Module (CBAM), an attention module for feed-forward convolutional neural networks.

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What it connects

CBAM: Convolutional Block Attention Module → states its contribution → The paper proposes the Convolutional Block Attention Module (CBAM), an attention module for feed-forward convolutional neural networks.

Where it appears

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Claim and evidence

CBAM: Convolutional Block Attention Modulestates its contribution ↓The paper proposes the Convolutional Block Attention Module (CBAM), an attention module for feed-forward convolutional neural networks.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2018-07-17 · publication Records dated 2018 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

CBAM: Convolutional Block Attention Module

arXiv · 2018-07-17

Cite the original source

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Source excerpt

“We propose Convolutional Block Attention Module (CBAM), a simple yet effective attention module for feed-forward convolutional neural networks.”

Location in source arXiv v1, PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Sanghyun Woo; Jongchan Park; Joon-Young Lee; In So Kweon
Version: arXiv:1807.06521v1, submitted 17 July 2018 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 cb37869bc25671e206f4044ac8f7de05b6604ca5b0b346557cbf5eaf9e94eb18). The author list is the byline as printed on the first page.
Version date: 2018-07-17
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon, “CBAM: Convolutional Block Attention Module”, 2018-07-17.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (18 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the arXiv version quoted, submitted 17 July 2018 (UTC); later versions may word it differently.

Record ID kp-states-cbam-convolutional-block-attention-module-2018-1