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Urban Waterlogging Detection: A Challenging Benchmark and Large-Small
  Model Co-Adapter

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter

11 July 2024
Suqi Song
Chenxu Zhang
Peng Zhang
Pengkun Li
Fenglong Song
Lei Zhang
    VLM
ArXivPDFHTML

Papers citing "Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter"

7 / 7 papers shown
Title
ClickSAM: Fine-tuning Segment Anything Model using click prompts for
  ultrasound image segmentation
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
Aimee Guo
Grace Fei
Hemanth Pasupuletic
Jing Wang
VLM
21
3
0
08 Feb 2024
Polyp-SAM: Transfer SAM for Polyp Segmentation
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li
Mingzhe Hu
Xiaofeng Yang
MedIm
156
74
0
29 Apr 2023
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
77
36
0
29 Apr 2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu
Yuheng Li
Xiaofeng Yang
VLM
137
50
0
27 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
95
276
0
26 Apr 2023
Detecting floodwater on roadways from image data with handcrafted
  features and deep transfer learning
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning
Cem Sazara
M. Cetin
Khan M. Iftekharuddin
14
26
0
31 Aug 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1