Author

Dae-Nyoung Heo

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Open access Jul 2026

Global-to-Local Visual Conditioning for Image Captioning with a Frozen Vision–Language Model

This study investigates an input-level visual conditioning approach for image captioning using a frozen ResNet-50 image encoder and a frozen Phi-3 Mini language model, providing an empirical analysis of global and local visual conditioning for parameter-efficient caption generation with frozen pretrained components.

Sohyun Lee, Dae-Nyoung Heo · Applied Sciences · 0 citations