Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model

Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China

(2019) Yuchu Qin et al.   SENSORS

Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

(2019) Ahmad Salman et al.   ICES JOURNAL OF MARINE SCIENCE

Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision

(2019) Chao Zhou et al.   AQUACULTURE

Cucumber leaf disease identification with global pooling dilated convolutional neural network

(2019) Shanwen Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review

(2019) Daoliang Li et al.   Reviews in Aquaculture

FLYOLOv3 deep learning for key parts of dairy cow body detection

(2019) Bo Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning Techniques for Grape Plant Species Identification in Natural Images

(2019) Carlos S. Pereira et al.   SENSORS

A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture

(2019) Håkon Måløy et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Visual features based automated identification of fish species using deep convolutional neural networks

(2019) Hafiz Tayyab Rauf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic live fingerlings counting using computer vision

(2019) Pedro Lucas França Albuquerque et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture

(2018) Chao Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Image super-resolution using a dilated convolutional neural network

(2018) Guimin Lin et al.   NEUROCOMPUTING

Comparative Performance Analysis of Support Vector Machine, Random Forest, Logistic Regression and k-Nearest Neighbours in Rainbow Trout (Oncorhynchus Mykiss) Classification Using Image-Based Features

(2018) Mohammadmehdi Saberioon et al.   SENSORS

Spinal cord gray matter segmentation using deep dilated convolutions

(2018) Christian S. Perone et al.   Scientific Reports

Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

(2018) Xue Yang et al.   Remote Sensing

Identifying animal species in camera trap images using deep learning and citizen science

(2018) Marco Willi et al.   Methods in Ecology and Evolution

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A practical approach for detection and classification of traffic signs using Convolutional Neural Networks

(2016) Hamed Habibi Aghdam et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues

(2016) Mohammadmehdi Saberioon et al.   Reviews in Aquaculture

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

Automate fry counting using computer vision and multi-class least squares support vector machine

(2012) Liangzhong Fan et al.   AQUACULTURE

Pedestrian Detection: An Evaluation of the State of the Art

(2011) P. Dollar et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Environmental drivers of Atlantic salmon behaviour in sea-cages: A review

(2010) Frode Oppedal et al.   AQUACULTURE