output
20032026
most citedA Billion-scale Foundation Model for Remote Sensing Images

81 citations

8 papers

cs.LG2026

Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

Youngseok Hwang, Sungho Bae, Dohun Lee +4

Maritime anomaly detection is essential for ensuring maritime safety, security, and efficient traffic management at sea, with Automatic Identification System (AIS) data serving as…

astro-ph.SR2026

effect in rotating hydrodynamic convection

P. J. Käpylä

Context: Rotating anisotropic convection generates differential rotation in stellar convection zones. Aims: The main aim is to compute the non-diffusive contribution ( effect) t…

astro-ph.SR2025

Connecting mean-field theory with dynamo simulations

Petri J. Käpylä

Mean-field dynamo theory, describing the evolution of large-scale magnetic fields, has been the mainstay of theoretical interpretation of magnetism in astrophysical objects such as…

cs.AI2025★ 8 cited

Explainable AI-Based Interface System for Weather Forecasting Model

Soyeon Kim, Junho Choi, Yeji Choi +6

Machine learning (ML) is becoming increasingly popular in meteorological decision-making. Although the literature on explainable artificial intelligence (XAI) is growing steadily,…

cs.CV2023★ 81 cited

A Billion-scale Foundation Model for Remote Sensing Images

Keumgang Cha, Junghoon Seo, Taekyung Lee

As the potential of foundation models in visual tasks has garnered significant attention, pretraining these models before downstream tasks has become a crucial step. The three key…

cs.CV2021★ 26 cited

Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation

Keumgang Cha, Junghoon Seo, Yeji Choi

In the training of deep learning models, how the model parameters are initialized greatly affects the model performance, sample efficiency, and convergence speed. Representation le…