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Found 4 papers, 2 papers with code
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Moreover, models using expert-annotated data are limited by data scarcity and pre-defined classes, impacting their performance, flexibility and scalability.
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
In this paper, we tackle the lack of image-text data in chest X-ray by expanding image-label pair as image-text pair via general prompt and utilizing multiple images and multiple sections in a radiologic report.
Diversified Mutual Learning for Deep Metric Learning
Mutual learning is an ensemble training strategy to improve generalization by transferring individual knowledge to each other while simultaneously training multiple models.
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning.
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