4 papers
LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models
Sojung An, Junha Lee, Sujeong You +2
Pre-trained Vision Foundation Models (VFMs) provide strong visual representations for diverse downstream tasks. The key challenge of VFM adaptation stems from the prohibitive costs…
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
Hyunwoo Kim, Junha Lee, Mincheol Choi +2
Deep learning models have become increasingly large and complex, resulting in higher memory consumption and computational demands. Consequently, model loading times and initial inf…
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee, Sojung An, Sujeong You +1
Numerical weather prediction (NWP) models are fundamental in meteorology for simulating and forecasting the behavior of various atmospheric variables. The accuracy of precipitation…
Self-Supervised Pre-Training for Precipitation Post-Processor
Sojung An, Junha Lee, Jiyeon Jang +3
Obtaining a sufficient forecast lead time for local precipitation is essential in preventing hazardous weather events. Global warming-induced climate change increases the challenge…