Individual identification of dairy cows based on convolutional neural networks
暂无分享,去创建一个
Jian Sun | Yukun Sun | Li Jiang | Weizheng Shen | Baisheng Dai | Xiaoli Wei | Hengqi Hu | Jian Sun | Weizheng Shen | Baisheng Dai | Xiaoli Wei | Yukun Sun | Li Jiang | Hengqi Hu
[1] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Charalampos Z. Patrikakis,et al. A complete farm management system based on animal identification using RFID technology , 2010 .
[3] Huimin Lu,et al. Underwater image dehazing using joint trilateral filter , 2014, Comput. Electr. Eng..
[4] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Qinping Zhao,et al. Supervised Geodesic Propagation for Semantic Label Transfer , 2012, ECCV.
[7] F Universit,et al. Recognition of individual dairy cattle based on convolutional neural networks , 2015 .
[8] Yi Yang,et al. A Probabilistic Associative Model for Segmenting Weakly Supervised Images , 2014, IEEE Transactions on Image Processing.
[9] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[11] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Huimin Lu,et al. Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning , 2018, IEEE Internet of Things Journal.
[13] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[14] Huimin Lu,et al. PEA: Parallel electrocardiogram-based authentication for smart healthcare systems , 2018, J. Netw. Comput. Appl..
[15] Le Wu,et al. Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence , 2017, AAAI.
[16] Huimin Lu,et al. Low illumination underwater light field images reconstruction using deep convolutional neural networks , 2018, Future Gener. Comput. Syst..
[17] Qinping Zhao,et al. Geodesic Propagation for Semantic Labeling , 2014, IEEE Transactions on Image Processing.
[18] Santosh Kumar,et al. Face Recognition of Cattle: Can it be Done? , 2016, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences.
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[21] Bin Li,et al. Wound intensity correction and segmentation with convolutional neural networks , 2017, Concurr. Comput. Pract. Exp..
[22] Huimin Lu,et al. Brain Intelligence: Go beyond Artificial Intelligence , 2017, Mobile Networks and Applications.
[23] Amit Kumar Singh,et al. Deep Learning Framework for Recognition of Cattle Using Muzzle Point Image Pattern , 2018 .
[24] H. Kühl,et al. Animal biometrics: quantifying and detecting phenotypic appearance. , 2013, Trends in ecology & evolution.
[25] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] A. M. Johnston,et al. Welfare implications of identification of cattle by ear tags , 1996, Veterinary Record.