Multimodal contrastive learning for remote sensing tasks

Multimodal contrastive learning for remote sensing tasks

6 September 2022

Papers citing "Multimodal contrastive learning for remote sensing tasks"

14 / 14 papers shown

Title
A Genealogy of Multi-Sensor Foundation Models in Remote Sensing Kevin Lane Morteza Karimzadeh 36 0 0 24 Apr 2025
GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations Z. Liu Fan Zhang Junfeng Jiao Ni Lao Gengchen Mai 47 1 0 20 Mar 2025
Rapid Wildfire Hotspot Detection Using Self-Supervised Learning on Temporal Remote Sensing Data Luca Barco Angelica Urbanelli Claudio Rossi 18 0 0 30 May 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification Xu Wang Tian Ye Rajgopal Kannan Viktor Prasanna AAML 25 1 0 04 Apr 2024
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning Yiduo Hao Sohrab Madani Junfeng Guan Mohammed Alloulah Saurabh Gupta Haitham Hassanieh SSL 27 3 0 07 Dec 2023
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery Jeremy Irvin Lucas Tao Joanne Zhou Yuntao Ma Langston Nashold Benjamin Liu Andrew Y. Ng ViT 36 20 0 02 Dec 2023
Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing Piper Wolters F. Bastani Aniruddha Kembhavi 22 2 0 29 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders A. Fuller K. Millard James R. Green 15 60 0 01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 41 5 0 01 Nov 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space Shengzhong Liu Tomoyoshi Kimura Dongxin Liu Ruijie Wang Jinyang Li Suhas Diggavi Mani B. Srivastava Tarek F. Abdelzaher AI4TS 44 24 0 30 Oct 2023
A Billion-scale Foundation Model for Remote Sensing Images Keumgang Cha Junghoon Seo Taekyung Lee 30 63 0 11 Apr 2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches Kevin Iselborn Marco Stricker T. Miyamoto Marlon Nuske Andreas Dengel AI4CE 20 1 0 01 Mar 2023
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020