2 papers
cs.CV2020
High-resolution global irrigation prediction with Sentinel-2 30m data
Weixin, Wu, Sonal Thakkar +3
An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts. Irrigation is highly energy-intensive, and as population growt…
cs.CV2018
Locally Adaptive Learning Loss for Semantic Image Segmentation
Jinjiang Guo, Pengyuan Ren, Aiguo Gu +2
We propose a novel locally adaptive learning estimator for enhancing the inter- and intra- discriminative capabilities of Deep Neural Networks, which can be used as improved loss l…