Ablation Study Results for MSFF and CBAM Modules on EfficientNetV2

Guohua Zhu published an ablation study on figshare in March 2026. The dataset contains experimental results comparing the performance of MSFF and CBAM modules on the EfficientNetV2 architecture. The file is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Benchmarking the performance of the MSFF module based on the evaluation metrics provided.
• Benchmarking the performance of the CBAM module based on the evaluation metrics provided.
• Analyzing the combined effect of MSFF and CBAM modules on EfficientNetV2 performance.
• Conducting comparative analysis of model components for small object localization tasks.
• Evaluating model robustness under diverse environmental conditions as suggested by platform tags.

Strengths

• Dataset is small at 5.5 KB, enabling quick download and inspection.
• Results are from a structured ablation study, providing a controlled comparison of modules.
• The dataset has a clear license (CC-BY-4.0) for reuse.

Limitations

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

Provenance

Source

Guohua Zhu via figshare

Collection Method

Likely contains results from machine learning experiments and ablation studies.

Freshness

Last updated 2026-03-19 20:02:57; freshness should be verified.