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Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer
  Learning Method for High-resolution Medical Image Classification

Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

12 March 2024
Yijin Huang
Pujin Cheng
Roger Tam
Xiaoying Tang
    VLM
    MedIm
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Papers citing "Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification"

3 / 3 papers shown
Title
Identifying the key components in ResNet-50 for diabetic retinopathy
  grading from fundus images: a systematic investigation
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
Yijin Huang
Li Lin
Pujin Cheng
Junyan Lyu
Roger Tam
Xiaoying Tang
29
31
0
27 Oct 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
166
684
0
22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
1