Methods › Computer Vision › Convolutional Neural Networks › ECA-Net

ECA-Net

2 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

An ECA-Net is a type of convolutional neural network that utilises an Efficient Channel Attention module.

Source: ECA-Net: Efficient Channel Attention for Deep...See Code · BangguWu/ECANet

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Emotion Recognition with Facial Attention and Objective Activation Functions
23 Oct 2024 · 0 repositories · arXiv:2410.17740
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
8 Oct 2019 · 13 repositories · arXiv:1910.03151

Syntology ran 1 of 8 samples · 7 unverified

Tasks archive 2025-07-28

9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Dimensionality Reduction	1
Emotion Recognition	1
Facial Emotion Recognition	1
Image Classification	1
Instance Segmentation	1
Object Detection	1
Semantic Segmentation	1
image-classification	1
object-detection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Convolutional Neural Networks

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