2 papers
cs.CV2025
Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
Nicolas Drapier, Aladine Chetouani, Aurélien Chateigner
We present GLOD, a transformer-first architecture for object detection in high-resolution satellite imagery. GLOD replaces CNN backbones with a Swin Transformer for end-to-end feat…
cs.LG2024
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
Nicolas Drapier, Aladine Chetouani, Aurélien Chateigner
The prediction of ship trajectories is a growing field of study in artificial intelligence. Traditional methods rely on the use of LSTM, GRU networks, and even Transformer architec…