Online In-Context Distillation for Low-Resource Vision Language Models

Researchers propose an online In-Context Distillation (ICD) method for vision-language models, enabling smaller models to efficiently learn from larger ones during inference without extensive fine-tuning. This technique is crucial for deploying AI in resource-limited environments by bridging the performance gap between large and small VLMs with minimal computational overhead.

Read the full article at arXiv cs.CV (Vision)

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