Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models

22 January 2024

Papers citing "Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models"

4 / 4 papers shown

Title
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning Jiazhen Pan Che Liu Junde Wu Fenglin Liu Jiayuan Zhu Hongwei Bran Li Chen Chen C. Ouyang Daniel Rueckert LRM LM&MA VLM 65 10 0 26 Feb 2025
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images Xinyang Pu Feng Xu 32 3 0 04 Jun 2024
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis Yitao Zhu Zhenrong Shen Zihao Zhao Sheng Wang Xin Wang Xiangyu Zhao Dinggang Shen Qian Wang MedIm 32 28 0 14 Nov 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021