Search Results for author: Clifford Broni-Bediako

Found 7 papers, 2 papers with code

Pre-training a BERT with Curriculum Learning by Increasing Block-Size of Input Text

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.

Submeter-level Land Cover Mapping of Japan

no code implementations19 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.

Land Cover Classification

Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing

no code implementations12 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.

Image Segmentation Real-Time Semantic Segmentation +2

Evolutionary NAS with Gene Expression Programming of Cellular Encoding

1 code implementation27 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.

General Classification Image Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.