SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro

13 September 2018

Papers citing "SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro"

3 / 3 papers shown

Title
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models Nikos Kostagiolas M. Nicolaou Yannis Panagakis GAN 18 2 0 03 Aug 2022
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach M. Nabati Hojjat Navidan Reza Shahbazian S. Ghorashi David Windridge 15 51 0 05 May 2021
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities Gong Cheng Xingxing Xie Junwei Han Lei Guo Guisong Xia VLM 41 623 0 03 May 2020