AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN

no code implementations • 2 Dec 2023 • Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang

Explainable artificial intelligence (XAI) aims to develop transparent explanatory approaches for "black-box" deep learning models.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing

no code implementations • 1 Dec 2023 • Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang

Compared with widely used semantic segmentation networks, including SegNet, PSPNet, DeepLabV3+, UNet, and ResUnet, our proposed model CldNet with an accuracy of 80. 89+-2. 18% is state-of-the-art in identifying cloud types and has increased by 32%, 46%, 22%, 2%, and 39%, respectively.

Semantic Segmentation