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. 2304.13672
  4. Cited By
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain
  Adaptation of Medical Image Segmentation
v1v2 (latest)

FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation

26 April 2023
Yan Wang
Jian Cheng
Yixin Chen
Shuai Shao
Lanyun Zhu
Zhenzhou Wu
Tianming Liu
Haogang Zhu
    OODMedIm
ArXiv (abs)PDFHTML

Papers citing "FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation"

29 / 29 papers shown
Title
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
Zheang Huai
Hui Tang
Yi Li
Zhe Chen
Xiaomeng Li
VLM
175
0
0
13 May 2025
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
231
490
0
26 Feb 2025
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
128
2
0
03 Jun 2024
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
153
1,627
0
23 Mar 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
495
2,399
0
02 Sep 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
218
3,977
0
28 Jul 2021
Multimodal Few-Shot Learning with Frozen Language Models
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli
Jacob Menick
Serkan Cabi
S. M. Ali Eslami
Oriol Vinyals
Felix Hill
MLLM
173
786
0
25 Jun 2021
Source-free Domain Adaptation via Avatar Prototype Generation and
  Adaptation
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Zhen Qiu
Yifan Zhang
Hongbin Lin
Shuaicheng Niu
Yanxia Liu
Qing Du
Mingkui Tan
TTA
89
170
0
18 Jun 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
579
4,047
0
18 Apr 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
57
253
0
30 Mar 2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Jiayi Tian
Jing Zhang
Wen Li
Dong Xu
TTA
37
96
0
26 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
131
555
0
18 Feb 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
246
4,261
0
01 Jan 2021
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive
  Semantic Segmentation
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Guoliang Kang
Yunchao Wei
Yi Yang
Yueting Zhuang
Alexander G. Hauptmann
72
113
0
31 Oct 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
89
897
0
11 Apr 2020
Phase Consistent Ecological Domain Adaptation
Phase Consistent Ecological Domain Adaptation
Yanchao Yang
Dong Lao
G. Sundaramoorthi
Stefano Soatto
62
116
0
10 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
102
1,244
0
20 Feb 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply
  Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng Ann Heng
111
315
0
06 Feb 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
88
623
0
17 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
132
1,405
0
28 Nov 2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic
  Segmentation
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming Zhang
Jing Zhang
Wei Liu
Dacheng Tao
OOD
72
285
0
29 Oct 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELMAI4MH
574
2,670
0
03 Sep 2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation
  in Semantic Segmentation
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Jaehoon Choi
Taekyung Kim
Changick Kim
75
243
0
02 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
152
763
0
27 Aug 2019
High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
61
524
0
28 May 2019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
144
3,002
0
08 Nov 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
145
2,527
0
26 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
265
18,240
0
02 Jun 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
380
9,497
0
28 May 2015
1