Batch Augmentation with Unimodal Fine-tuning for Multimodal Fusion of Large Language Models

Name: Batch Augmentation with Unimodal Fine-tuning for Multimodal Fusion of Large Language Models
Uploaded: 2026-10-08T23:04:41.850819+00:00
Duration: 990 s
Description: The research improves multimodal learning for detecting fetal organs from ultrasound images and text by combining batch augmentation with unimodal fine-tuning of initial layers. This method adjusts model weights using augmented image data and text information, leading to near state-of-the-art performance on datasets like UPMC Food-101.

The research improves multimodal learning for detecting fetal organs from ultrasound images and text by combining batch augmentation with unimodal fine-tuning of initial layers. This method adjusts model weights using augmented image data and text information, leading to near state-of-the-art performance on datasets like UPMC Food-101.

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