Applications of knowledge distillation in remote sensing: A survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …
increasing demand for solutions that balance model accuracy with computational efficiency …
A Lightweight Framework with Knowledge Distillation for Zero-Shot Mars Scene Classification
Gathering extensive labeled data during Mars missions is costly and unrealistic, especially
considering the complex and unpredictable Martian environment where new and unfamiliar …
considering the complex and unpredictable Martian environment where new and unfamiliar …
RepSViT: An Efficient Vision Transformer Based on Spiking Neural Networks for Object Recognition in Satellite On-Orbit Remote Sensing Images
Y Pang, L Yao, Y Luo, C Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The role of on-orbit computing for satellites is transitioning from being a backup measure to
becoming a primary key function. However, the limited computing resources available on …
becoming a primary key function. However, the limited computing resources available on …
Collaborative forecasting management model for multi‐energy microgrid considering load response characterization
H Bao, Y Sun, J Peng, X Qian… - IET Renewable Power …, 2024 - Wiley Online Library
Multi‐energy microgrids (MEMG) have become an effective means of integrated energy
management due to their unique advantages, including area independence, diverse supply …
management due to their unique advantages, including area independence, diverse supply …