Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
Abstract: Monitoring glacier calving fronts is critical for understanding ice dynamics and their response to climate change. However, existing methods of mapping ice calving front face limitations in ...
This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping. AgriFM is a multi-source temporal remote sensing foundation ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.