no code implementations • RANLP 2021 • Koichi Nagatsuka, Clifford Broni-Bediako, Masayasu Atsumi
Recently, pre-trained language representation models such as BERT and RoBERTa have achieved significant results in a wide range of natural language processing (NLP) tasks, however, it requires extremely high computational cost.
1 code implementation • 23 Apr 2024 • Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
Thus, we proposed a simple yet effective framework to search for lightweight neural networks automatically for land cover mapping tasks under domain shifts.
no code implementations • 21 Jan 2024 • Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa M. Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, Eman Ehab, Gbetondji Dovonon, Zainab Akinjobi, Daniel Ajisafe, Oluwabukola G. Adegboro, Mennatullah Siam
The aim is to provide a survey of African computer vision topics, datasets and researchers.
no code implementations • 19 Nov 2023 • Naoto Yokoya, Junshi Xia, Clifford Broni-Bediako
Deep learning has shown promising performance in submeter-level mapping tasks; however, the annotation cost of submeter-level imagery remains a challenge, especially when applied on a large scale.
1 code implementation • 4 Oct 2023 • Hongruixuan Chen, Cuiling Lan, Jian Song, Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
Optical high-resolution imagery and OpenStreetMap (OSM) data are two important data sources for land-cover change detection.
no code implementations • 12 Sep 2023 • Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
With the success of efficient deep learning methods (i. e., efficient deep neural networks) for real-time semantic segmentation in computer vision, researchers have adopted these efficient deep neural networks in remote sensing image analysis.
no code implementations • 19 Oct 2022 • Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako
We introduce OpenEarthMap, a benchmark dataset, for global high-resolution land cover mapping.
1 code implementation • 27 May 2020 • Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi
The renaissance of neural architecture search (NAS) has seen classical methods such as genetic algorithms (GA) and genetic programming (GP) being exploited for convolutional neural network (CNN) architectures.