| ---
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| license: mit
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| tags:
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| - research-notes
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| - image-captioning
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| - research
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| ---
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| # Image Captioning: reading plan
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| ## Overview
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| This repository contains a working research note about **Image Captioning**. It organizes motivation, related work, a falsifiable hypothesis, and an evaluation plan. It is not presented as a completed paper or a release of trained models.
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| ## Changelog
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| * 2026-10-07 — initial upload
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| * 2026-10-21 — config and docs sync
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| ## Scope and limitations
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| Exploratory by design: no benchmark claims, no completed ablations, no released code, no trained checkpoint. The references are a starting point for verification, not evidence that the study has run.
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| ## Roadmap
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| Next steps, in no particular order: a cleaner entry point, input-shape docs, and a small evaluation script if time permits.
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| ## Related work
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| A reading list around Image Captioning is being assembled. Entries will be added as the note matures; suggestions via repository discussions are welcome.
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| ## Open questions
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| * which baselines are actually comparable under matched capacity?
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| * what is the minimum data exposure for a meaningful signal?
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| * which confounders would invalidate a naive comparison?
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| ## What is covered
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| * the scope of the research question and likely confounders
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| * a proposed comparison with matched baselines
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| * concrete evaluation context such as MS COCO Captions, NoCaps, and TextCaps
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| * reproducibility checks, failure modes, and open questions
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| * topic-relevant references
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| ## Files
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| * `summary.md` — primary artifact
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| * `README.md` — this documentation
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| * `config.json` — architecture configuration
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| * `training_args.json` — default experiment settings
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| * `model.safetensors` — initialization checkpoint
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| ## License
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| Released under **mit**. Review the source-data terms separately when this repository is used with external datasets.
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