Ladder Fine-tuning approach for SAM integrating complementary network

Ladder Fine-tuning approach for SAM integrating complementary network

22 June 2023

Yen-wei Chen

Papers citing "Ladder Fine-tuning approach for SAM integrating complementary network"

9 / 9 papers shown

Title
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models Encheng Su Hu Cao Alois C. Knoll MedIm 40 0 0 02 Apr 2025
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation Zhonghao Yan Zijin Yin Tianyu Lin Xiangzhu Zeng Kongming Liang Zhanyu Ma VLM MedIm 51 0 0 12 Jan 2025
EchoONE: Segmenting Multiple echocardiography Planes in One Model Jiongtong Hu Wei Zhuo Jun Cheng Yingying Liu Wufeng Xue Dong Ni 87 1 0 04 Dec 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey Yi Xin Jianjiang Yang Haodi Zhou Junlong Du Junlong Du Yue Fan Qing Li Qing Li Yuntao Du VLM 64 75 0 03 Feb 2024
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 27 26 0 05 May 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 97 286 0 26 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 174 0 15 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021