End-to-End Learned Early Classification of Time Series for In-Season
Crop Type Mapping

End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping

30 January 2019

Sébastien Lefèvre

Papers citing "End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping"

4 / 4 papers shown

Title
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach Elliot Vincent Jean Ponce Mathieu Aubry AI4TS 13 5 0 22 Mar 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 42 9 0 10 Jan 2023
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh Chenlin Meng Sherrie Wang Anne Driscoll Erik Rozi Patrick Liu Jihyeon Janel Lee Marshall Burke David B. Lobell Stefano Ermon 64 56 0 08 Nov 2021
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 102 1,072 0 11 Sep 2019