SGA-Net: Self-Constructing Graph Attention Neural Network for Semantic Segmentation of Remote Sensing Images

by Wenjie Zi, Wei Xiong, Hao Chen, Jun Li, Ning Jing
Published 2021

Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques

by Kazimieras Buškus, Evaldas Vaičiukynas, Antanas Verikas, Saulė Medelytė, Andrius Šiaulys, Aleksej Šaškov
Published 2021

A Hierarchical Feature Extraction Network for Fast Scene Segmentation

by Liu Miao, Yi Zhang
Published 2021

Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei

by Bruch Roman, Rudolf Rüdiger, Mikut Ralf, Reischl Markus
Published 2020

Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps

by Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse
Published 2021

High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries

by Xiaoping Zhang, Bo Cheng, Jinfen Chen, Chenbin Liang
Published 2021

A Semantic Segmentation Method for Early Forest Fire Smoke Based on Concentration Weighting

by Zewei Wang, Change Zheng, Jiyan Yin, Ye Tian, Wenbin Cui
Published 2021

A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery

by Saüc Abadal, Luis Salgueiro, Javier Marcello, Verónica Vilaplana
Published 2021

Memory-Augmented Transformer for Remote Sensing Image Semantic Segmentation

by Xin Zhao, Jiayi Guo, Yueting Zhang, Yirong Wu
Published 2021

Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation

by Zhiying Cao, Tengfei Zhang, Wenhui Diao, Yue Zhang, Xiaode Lyu, Kun Fu, Xian Sun
Published 2019

Real-Time Identification of Rice Weeds by UAV Low-Altitude Remote Sensing Based on Improved Semantic Segmentation Model

by Yubin Lan, Kanghua Huang, Chang Yang, Luocheng Lei, Jiahang Ye, Jianling Zhang, Wen Zeng, Yali Zhang, Jizhong Deng
Published 2021

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

by Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa
Published 2021

EnvSLAM: Combining SLAM Systems and Neural Networks to Improve the Environment Fusion in AR Applications

by Giulia Marchesi, Christian Eichhorn, David A. Plecher, Yuta Itoh, Gudrun Klinker
Published 2021

Cascaded Segmented Matting Network for Human Matting

by Bo Liu, Haipeng Jing, Guangzhi Qu, Hans W. Guesgen
Published 2021

An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets

by Yu Hou, Meida Chen, Rebekka Volk, Lucio Soibelman
Published 2021

Application of Deep Learning in Petrographic Coal Images Segmentation

by Sebastian Iwaszenko, Leokadia Róg
Published 2021

GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention

by Udit Sharma, Bruno Artacho, Andreas Savakis
Published 2021

Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data

by Ji Won Suh, Eli Anderson, William Ouimet, Katharine M. Johnson, Chandi Witharana
Published 2021

Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach

by Sandi Baressi Šegota, Ivan Lorencin, Klara Smolić, Nikola Anđelić, Dean Markić, Vedran Mrzljak, Daniel Štifanić, Jelena Musulin, Josip Španjol, Zlatan Car
Published 2021

A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance Estimation

by Jonathon A. Gibbs, Lorna Mcausland, Carlos A. Robles-Zazueta, Erik H. Murchie, Alexandra J. Burgess
Published 2021