<p>Ablation study results for CMAP-Fusion on the COVID-19 Radiography datasets: Comparison

Ablation study results for CMAP-Fusion on the COVID-19 Radiography datasets compare the impact of the ViT-B/16, SmartTrim, and CMT modules on classification accuracy, F1 Score, AUC, Kappa, model parameters, FLOPs, feature sparsity, and cross-modal similarity. The 5.5 KB Excel file was authored by Chong Liu and shared under a CC-BY-4.0 license on figshare in April 2026.

Use Cases

• Compare ablation components' impact on classification accuracy based on the listed performance metrics.
• Analyze trade-offs between model efficiency (parameters, FLOPs) and performance (AUC, F1 Score) for different modules.
• Benchmark cross-modal similarity and feature sparsity metrics for multimodal fusion architectures.
• Evaluate the ViT-B/16, SmartTrim, and CMT modules' contributions to COVID-19 radiography classification.

Strengths

• Provides a direct comparison of ablation components (ViT-B/16, SmartTrim, CMT) across multiple performance and efficiency metrics.
• Results are structured in a 5.5 KB Excel file, facilitating straightforward numerical analysis.
• Shared under a CC-BY-4.0 license, allowing for open reuse and distribution.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope and likely a summary of results rather than raw experimental data.

Provenance

Source

figshare

Freshness

Last updated 2026-04-24 17:35:35; freshness should be verified.