4.7 Article

CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Agronomy

Evaluation of Deep Learning for Automatic Multi-View Face Detection in Cattle

Beibei Xu et al.

Summary: This study evaluated the potential of using RetinaNet algorithm for multi-view cattle face detection in challenging farm environments. The model incorporating ResNet 50 showed superior accuracy and speed, making it preferable for difficult scenarios. This research demonstrated the capability of artificial intelligence in enhancing animal welfare through computer vision systems for individual identification.

AGRICULTURE-BASEL (2021)

Article Computer Science, Artificial Intelligence

Focal Loss for Dense Object Detection

Tsung-Yi Lin et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

A lightweight face detector by integrating the convolutional neural network with the image pyramid

Jiapeng Luo et al.

PATTERN RECOGNITION LETTERS (2020)

Article Agriculture, Multidisciplinary

An adaptive pig face recognition approach using Convolutional Neural Networks

Mathieu Marsot et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Proceedings Paper Computer Science, Information Systems

Cloud-based Livestock Monitoring System Using RFID and Blockchain Technology

Liuqing Yang et al.

2020 7TH IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (CSCLOUD 2020)/2020 6TH IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING AND SCALABLE CLOUD (EDGECOM 2020) (2020)

Proceedings Paper Automation & Control Systems

Individual Cattle Identification Using a Deep Learning Based Framework

Yongliang Qiao et al.

IFAC PAPERSONLINE (2019)

Article Computer Science, Theory & Methods

Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point Images

Santosh Kumar et al.

INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING (2018)

Article Computer Science, Interdisciplinary Applications

Towards on-farm pig face recognition using convolutional neural networks

Mark E. Hansen et al.

COMPUTERS IN INDUSTRY (2018)

Article Engineering, Electrical & Electronic

Additive Margin Softmax for Face Verification

Feng Wang et al.

IEEE SIGNAL PROCESSING LETTERS (2018)

Article Agriculture, Dairy & Animal Science

Branding Practices on Four Dairies in Kantale, Sri Lanka

Sarah J. J. Adcock et al.

ANIMALS (2018)

Proceedings Paper Energy & Fuels

Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory

Tao Lin et al.

2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Review Multidisciplinary Sciences

Face Recognition of Cattle: Can it be Done?

Santosh Kumar et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES (2016)

Proceedings Paper Computer Science, Artificial Intelligence

A Fast Cattle Recognition System using Smart devices

Santosh Kumar et al.

MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Article Agriculture, Dairy & Animal Science

Assessment of acute pain experienced by piglets from ear tagging, ear notching and intraperitoneal injectable transponders

Edwina Leslie et al.

APPLIED ANIMAL BEHAVIOUR SCIENCE (2010)

Article Agriculture, Multidisciplinary

Assessment of retinal recognition technology as a biometric method for sheep identification

U. Gonzales Barron et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)

Article Agriculture, Dairy & Animal Science

The identification of Japanese black cattle by their faces

HT Kim et al.

ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES (2005)