1 code implementation • 26 Apr 2024 • Jiajun Liang, Baoquan Zhang, Yunming Ye, Xutao Li, Chuyao Luo, Xukai Fu
Different from the previous models, MCSDNet targets on multi-frames detection and leverages multi-scale spatiotemporal information for the detection of MCS regions in remote sensing imagery(RSI).
1 code implementation • 11 Dec 2023 • Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen
A unified and flexible framework that can equip any type of spatio-temporal models is proposed based on residual diffusion, which effectively tackles the shortcomings of previous methods.
no code implementations • 31 Jul 2023 • Baoquan Zhang, Chuyao Luo, Demin Yu, Huiwei Lin, Xutao Li, Yunming Ye, BoWen Zhang
Its key idea is learning a deep model in a bi-level optimization manner, where the outer-loop process learns a shared gradient descent algorithm (i. e., its hyperparameters), while the inner-loop process leverage it to optimize a task-specific model by using only few labeled data.
1 code implementation • 3 Oct 2021 • Chuyao Luo, ZhengZhang, Rui Ye, Xutao Li, Yunming Ye
Natural disasters caused by heavy rainfall often cost huge loss of life and property.