3 papers
cs.CV2026
Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
Alif Tri Handoyo, Vincent C. S. Lee, Rizka Widyarini Purwanto +3
Automatically mapping and segmenting global mining footprints using remote sensing and deep learning is critical for monitoring the socio-environmental risks and impacts of mining,…
eess.IV2025
Digital Elevation Model Estimation from RGB Satellite Imagery using Generative Deep Learning
Alif Ilham Madani, Riska A. Kuswati, Alex M. Lechner +1
Digital Elevation Models (DEMs) are vital datasets for geospatial applications such as hydrological modeling and environmental monitoring. However, conventional methods to generate…
cs.LG2025
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
Maulidi Adi Prasetia, Muhamad Risqi U. Saputra, Guntur Dharma Putra
Federated Learning (FL) is designed as a decentralized, privacy-preserving machine learning paradigm that enables multiple clients to collaboratively train a model without sharing…