Papers about Few-shot Learning / Meta-Learning on Remote Sensing
Published:
Papers about Few-shot Learning / Meta-Learning on Remote Sensing
Scene Classification:
Few-Shot Learning For Remote Sensing Scene Classification, Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2020.
Meta-Learning for Few-Shot Land Cover Classification, CVPR Workshop, 2020.
Few Shot Scene Classification in Remote Sensing using Meta-Agnostic Machine, 2020 6th Conference on Data Science and Machine Learning Applications (CDMA), 2020
Semantic Segmentation:
Deep relation network for hyperspectral image few-shot classification, Remote Sensing, 2020.
Deep Transfer Learning for Few-Shot SAR Image Classification, Remote Sensing, 2019.
Sar image classification using few-shot cross-domain transfer learning, CVPR Workshop, 2019.
Deep few-shot learning for hyperspectral image classification, TGRS, 2018.
Low-shot learning for the semantic segmentation of remote sensing imagery, TGRS, 2018.
Object Detection:
Few-shot Object Detection on Remote Sensing Images, arxiv, 2020.
A training-free, one-shot detection framework for geospatial objects in remote sensing images, IGARSS, 2019.
Meta-SSD: Towards fast adaptation for few-shot object detection with meta-learning, IEEE Access, 2019.