no code implementations • 6 Feb 2022 • Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene
In this paper, we present an innovative approach where a fleet of unmanned aerial vehicles is exploited to perform remote sensing tasks over an apple orchard for reconstructing a 3D map of the field, formulating the covering control problem to combine the position of a monitoring target and the viewing angle.
1 code implementation • 29 Sep 2021 • Mariana Rodrigues Makiuchi, Kuniaki Uto, Koichi Shinoda
Current works train deep learning models on low-level data representations to solve the emotion recognition task.
no code implementations • 19 Sep 2020 • Kengo Machida, Kuniaki Uto, Koichi Shinoda, Taiji Suzuki
To overcome this problem, we propose a method called minimum stable rank DARTS (MSR-DARTS), for finding a model with the best generalization error by replacing architecture optimization with the selection process using the minimum stable rank criterion.
Ranked #24 on Neural Architecture Search on CIFAR-10