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Jun, 2024
学习适应基础模型 DINOv2 以应用于胶囊内窥镜诊断
Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
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Bowen Zhang, Ying Chen, Yan Zhao, Jianhua Zhang, Hongliang Ren
TL;DR
我们介绍了一种名为低秩适应(LoRA)技术的简化方法,用于将基础模型进行自定义,通过将低秩适应学习应用于胶囊内窥镜诊断,取得了令人印象深刻的结果。
Abstract
foundation models
have become prominent in computer vision, achieving notable success in various tasks. However, their effectiveness largely depends on pre-training with extensive datasets. Applying
foundation models
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