ArminMoghimi/Fine-tune-the-Segment-Anything-Model-SAM-
A. Moghimi, M. Welzel, T. Celik, and T. Schlurmann, "A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery,"
Jupyter Notebook
Stargazers
- adamstj
- agusswardanaa
- aradfarahaniFEZtool
- Ayanzadeh93United States
- bobo-zz中国科学院大学
- caviri@SwissDataScienceCenter
- d710055071ShenYang
- elhachimi-chEasyCompany
- giswqsUniversity of Tennessee
- iamteksonGeoscience Department, University of Calgary, Canada
- imneonizerSmartCow.ai
- ipmLessingMacao Polytechnic University
- MancheryTsinghua University
- mukul54
- pratinavseth
- robmarkcole@earthdaily
- Ruitao-Terry
- SpiruelManchester, UK
- Surv-Lukmon