ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.11514
  4. Cited By
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical
  Image Segmentation

ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

21 November 2022
Shishuai Hu
Zehui Liao
Yong-quan Xia
    OODMedIm
ArXiv (abs)PDFHTMLGithub (26★)

Papers citing "ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation"

17 / 17 papers shown
Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
264
493
0
26 Feb 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
202
12
0
23 Jan 2025
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
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
118
85
0
03 Feb 2024
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution Estimation
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
55
116
0
24 Apr 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
155
1,641
0
23 Mar 2022
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OODMedIm
177
71
0
06 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
224
3,989
0
28 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
68
52
0
12 Jul 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
60
255
0
30 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
131
559
0
18 Feb 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
111
993
0
16 Jul 2020
Source-Relaxed Domain Adaptation for Image Segmentation
Source-Relaxed Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OODMedIm
69
85
0
07 May 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
89
898
0
11 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
116
1,250
0
20 Feb 2020
Boundary and Entropy-driven Adversarial Learning for Fundus Image
  Segmentation
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Shujun Wang
Lequan Yu
Kang Li
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
FedML
58
139
0
26 Jun 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
69
387
0
27 May 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
692
10,799
0
19 Feb 2017
1