Training general representations for remote sensing using in-domain knowledge

30 September 2020

Papers citing "Training general representations for remote sensing using in-domain knowledge"

8 / 8 papers shown

Title
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters Isaac Corley Caleb Robinson Rahul Dodhia J. L. Ferres Peyman Najafirad 53 14 0 22 May 2023
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing Ali Ghanbarzade Hossein Soleimani SSL 36 0 0 29 Jan 2023
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation Yi Wang Nassim Ait Ali Braham Zhitong Xiong Chenying Liu C. Albrecht Xiao Xiang Zhu 34 71 0 13 Nov 2022
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification I. Dimitrovski Ivan Kitanovski D. Kocev Nikola Simidjievski VLM 32 76 0 14 Jul 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection Hao Chen Wenyuan Li Songhang Chen Zhenwei Shi 36 38 0 27 May 2022
Source data selection for out-of-domain generalization Xinran Miao Kris Sankaran OODD 11 0 0 04 Feb 2022
Semantic decoupled representation learning for remote sensing image change detection Hao Chen Y. Zao Liqin Liu Songhang Chen Zhenwei Shi 16 9 0 15 Jan 2022
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation Keumgang Cha Junghoon Seo Yeji Choi 40 29 0 31 Aug 2021