Papers by In So Kweon

2 papers
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach (D19-1)

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Challenge: Recent work on image captioning has made impressive progress . however, the results are limited and the model is difficult to train .
Approach: They propose a semi-supervised framework for training an image captioning model by assigning pseudo-labels to unpaired samples via Generative Adversarial Networks.
Outcome: The proposed framework is compared to baselines when the number of paired samples is scarce.
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality (2024.emnlp-main)

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Challenge: Existing fine-tuning approaches for compositional understanding compromise performance in zero-shot multi-modal tasks.
Approach: They propose a method to enhance compositional understanding in pre-trained vision and language models without sacrificing performance in zero-shot multi-modal tasks.
Outcome: The proposed method achieves compositionality on par with state-of-the-art models and retains strong multi-modal capabilities.

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