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Improving the Generalization of Segmentation Foundation Model under
  Distribution Shift via Weakly Supervised Adaptation

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation

6 December 2023
Haojie Zhang
Yongyi Su
Xun Xu
Kui Jia
    OOD
    VLM
ArXivPDFHTML

Papers citing "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"

13 / 13 papers shown
Title
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Dong Zhao
Jinlong Li
Shuang Wang
Mengyao Wu
Qi Zang
N. Sebe
Zhun Zhong
147
0
0
23 Mar 2025
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
Xin Hu
Janet Wang
Jihun Hamm
R. Yotsu
Zhengming Ding
100
0
0
17 Jan 2025
Generalizing Segmentation Foundation Model Under Sim-to-real
  Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Yuxuan Wen
Evgenia Roussinova
Olivier Brina
Paolo Machi
Mohamed Bouri
OOD
MedIm
23
1
0
09 Oct 2024
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
40
14
0
20 Sep 2024
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects
  Cannot Be Easily Detected
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
Dongsheng Han
Chaoning Zhang
Yu Qiao
Maryam Qamar
Yuna Jung
Seungkyu Lee
Sung-Ho Bae
Choong Seon Hong
VLM
79
36
0
29 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
103
287
0
26 Apr 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Yongyi Su
Xun Xu
Tianrui Li
Kui Jia
OOD
TTA
34
15
0
20 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
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
OOD
MedIm
126
65
0
06 Aug 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Casting a BAIT for Offline and Online Source-free Domain Adaptation
Casting a BAIT for Offline and Online Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
91
45
0
23 Oct 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
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