CVDec 24, 2024
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval
arXiv:2412.18136v1h-index: 39
Originality Synthesis-oriented
AI Analysis
This work addresses retrieval challenges in remote sensing for applications like environmental monitoring, but appears incremental as it builds on existing ViT and distillation methods.
The paper tackles the problem of remote sensing image retrieval by proposing an efficient and robust Vision Transformer (ViT)-based distillation framework, achieving improved performance in retrieval tasks.
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval