Attention Module Comparison Metrics for Inception-ResNetV2
by Chao Zhang·Updated 24d ago
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Description
A 9.6 KB Excel table contrasts the Squeeze-and-Excitation (SE) attention module with six alternatives (ACmix, CA, SA, KNNA, ECA, CBAM) within an Inception-ResNetV2 model. The table, authored by Chao Zhang and last updated in May 2026, contains pairwise DeLong P values, calibration metrics, and net-benefit indices. The SE module achieved the lowest Brier score and log-loss and the highest decision-curve metrics.
Use Cases
Benchmarking attention module performance based on statistical significance tests.
Evaluating model calibration for clinical utility based on Brier score and log-loss metrics.
Comparing decision-curve analysis outcomes across different attention mechanisms.
Strengths
Directly compares six specific attention modules (ACmix, CA, SA, KNNA, ECA, CBAM) against a Squeeze-and-Excitation baseline.
Includes multiple evaluation metrics: DeLong P values, Brier score, log-loss, and net-benefit indices.
Released under a permissive CC-BY-4.0 license for open use.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
The description is limited to summary results; the raw data underlying the metrics is not included.
Provenance
Source
Chao Zhang via figshare
Collection Method
Likely generated from model evaluation experiments.
Freshness
Last updated 2026-05-14 17:44:30
The file is in XLSX format, requiring compatible spreadsheet software.