Semantic scene segmentation has become a key application in computer vision and is an essential part of intelligent transportation systems for complete scene understanding of the …
Classifying and segmenting patterns from a limited number of examples is a significant challenge in remote sensing and earth observation due to the difficulty in acquiring …
Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming is to provide tools for various agricultural and farming operations to …
B Baheti, S Talbar, S Gajre - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
According to the World Health Organization (WHO) report, the number of road traffic deaths have been continuously increasing since last few years though the rate of deaths relative to …
R Zenkl, R Timofte, N Kirchgessner, L Roth… - Frontiers in plant …, 2022 - frontiersin.org
Robust and automated segmentation of leaves and other backgrounds is a core prerequisite of most approaches in high-throughput field phenotyping. So far, the possibilities of deep …
J Wu, D Pichler, D Marley, D Wilson… - arXiv preprint arXiv …, 2023 - arxiv.org
A key challenge for much of the machine learning work on remote sensing and earth observation data is the difficulty in acquiring large amounts of accurately labeled data. This …
Y Shen, L Wang, Y Jin - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
The semantic segmentation of agricultural aerial images is very important for the recognition and analysis of farmland anomaly patterns, such as drydown, endrow, nutrient deficiency …
Computer vision and AI for smart agriculture have exciting potential in optimizing crop yield while reducing resource use for better environmental and commercial outcomes. The goal of …
D Wang, S Xiang, Y Zhou, J Mu, H Zhou, R Irampaye - Sensors, 2022 - mdpi.com
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network …