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cs.CV2025
SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
Si-Woo Kim, MinJu Jeon, Ye-Chan Kim +3
Zero-shot Image Captioning (ZIC) increasingly utilizes synthetic datasets generated by text-to-image (T2I) models to mitigate the need for costly manual annotation. However, these…
cs.CV2025
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
Taewhan Kim, Soeun Lee, Si-Woo Kim +1
Recent lightweight image captioning models using retrieved data mainly focus on text prompts. However, previous works only utilize the retrieved text as text prompts, and the visua…
cs.CV2024
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
Soeun Lee, Si-Woo Kim, Taewhan Kim +1
Recent advancements in image captioning have explored text-only training methods to overcome the limitations of paired image-text data. However, existing text-only training methods…