Cv cnn metadata fusion head
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Select the narrowest matching method below, then read its full entrypoint and the resources it requires. If multiple methods cover the same outcome, choose the one matching the user's environment and inputs; do not run them all. Retain each method's input requirements, decision steps, validation, output structure, and failure handling. If prerequisites are absent, use its honest proposal-only fallback or state that its documented path is blocked.
- **wenmin-wu/cv-cnn-metadata-fusion-head**: Fuse CNN image features with a small tabular MLP branch via concat before a final classifier, training both branches end-to-end Read `references/wenmin-wu/skills/cv/cnn-metadata-fusion-head/SKILL.md`.
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