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

par Wenjie Zi, Wei Xiong, Hao Chen, Jun Li, Ning Jing
Publié 2021

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

par Kazimieras Buškus, Evaldas Vaičiukynas, Antanas Verikas, Saulė Medelytė, Andrius Šiaulys, Aleksej Šaškov
Publié 2021

A Hierarchical Feature Extraction Network for Fast Scene Segmentation

par Liu Miao, Yi Zhang
Publié 2021

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

par Bruch Roman, Rudolf Rüdiger, Mikut Ralf, Reischl Markus
Publié 2020

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

par Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse
Publié 2021

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

par Xiaoping Zhang, Bo Cheng, Jinfen Chen, Chenbin Liang
Publié 2021

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

par Zewei Wang, Change Zheng, Jiyan Yin, Ye Tian, Wenbin Cui
Publié 2021

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

par Saüc Abadal, Luis Salgueiro, Javier Marcello, Verónica Vilaplana
Publié 2021

Memory-Augmented Transformer for Remote Sensing Image Semantic Segmentation

par Xin Zhao, Jiayi Guo, Yueting Zhang, Yirong Wu
Publié 2021

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

par Zhiying Cao, Tengfei Zhang, Wenhui Diao, Yue Zhang, Xiaode Lyu, Kun Fu, Xian Sun
Publié 2019

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

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

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

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

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

par Giulia Marchesi, Christian Eichhorn, David A. Plecher, Yuta Itoh, Gudrun Klinker
Publié 2021

Cascaded Segmented Matting Network for Human Matting

par Bo Liu, Haipeng Jing, Guangzhi Qu, Hans W. Guesgen
Publié 2021

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

par Yu Hou, Meida Chen, Rebekka Volk, Lucio Soibelman
Publié 2021

Application of Deep Learning in Petrographic Coal Images Segmentation

par Sebastian Iwaszenko, Leokadia Róg
Publié 2021

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

par Udit Sharma, Bruno Artacho, Andreas Savakis
Publié 2021

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

par Ji Won Suh, Eli Anderson, William Ouimet, Katharine M. Johnson, Chandi Witharana
Publié 2021

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

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

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

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