19 citations · 44 across the 5 of their papers we have counts for
5 papers
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series
Etienne David, Jean Bellot, Sylvain Le Corff
Developing models and algorithms to predict nonstationary time series is a long standing statistical problem. It is crucial for many applications, in particular for fashion or reta…
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa, Pang Wei Koh, Tony Lee +17
Machine learning systems deployed in the wild are often trained on a source distribution but deployed on a different target distribution. Unlabeled data can be a powerful point of…
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
Etienne David, Mario Serouart, Daniel Smith +32
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4,700 RGB images acquired from various acquisition platforms…
Global Wheat Challenge 2020: Analysis of the competition design and winning models
Etienne David, Franklin Ogidi, Wei Guo +2
Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems. In plant phenotyping, data competitions…
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
E. David, S. Madec, P. Sadeghi-Tehran +14
Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturit…