A continual learning-guided training framework for pansharpening

By Kangqing Shen, Xiaoyuan Yang, Simone Lolli, Gemine Vivone. 2023

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Simone Scardapane
2. Valerio Marsocci
3. Laura Palagi
4. Chao Tao

Citations in the corpus

• Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation (2022, background): “In [61], a CL network for pansharpening is proposed for the first time.”