Paddy field object detection for robotic combine based on real‐time semantic segmentation algorithm

Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images

(2023) John Lewis et al.   Scientific Reports

Review the state-of-the-art technologies of semantic segmentation based on deep learning

(2022) Yujian Mo et al.   NEUROCOMPUTING

Attention-based generative adversarial network with internal damage segmentation using thermography

(2022) Rahmat Ali et al.   AUTOMATION IN CONSTRUCTION

Research on fault diagnosis of bearings in walking part of wall‐building robot based on roadside acoustic signal

(2022) Tianhao Gao et al.   Journal of Field Robotics

Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia

(2020) Arthur F.A. Fernandes et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

(2020) Thiago T. Santos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fully convolutional networks for blueberry bruising and calyx segmentation using hyperspectral transmittance imaging

(2020) Mengyun Zhang et al.   BIOSYSTEMS ENGINEERING

A SVM and SLIC Based Detection Method for Paddy Field Boundary Line

(2020) Yanming Li et al.   SENSORS

Cut-Edge Detection Method for Rice Harvesting Based on Machine Vision

(2020) Zhenqian Zhang et al.   Agronomy-Basel

Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

(2019) Petra Bosilj et al.   Journal of Field Robotics

A comparative study of fruit detection and counting methods for yield mapping in apple orchards

(2019) Nicolai Häni et al.   Journal of Field Robotics

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Falls From Agricultural Machinery: Risk Factors Related to Work Experience, Worked Hours, and Operators’ Behavior

(2017) Federica Caffaro et al.   HUMAN FACTORS

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human detection for a robot tractor using omni-directional stereo vision

(2012) Liangliang Yang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE