Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis

21 October 2022

Papers citing "Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis"

24 / 24 papers shown

Title
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios Xingkui Zhu Shuchang Lyu Xu Wang Qi Zhao 36 1,222 0 26 Aug 2021
YOLO5Face: Why Reinventing a Face Detector Delong Qi Weijun Tan Qi Yao Jingfeng Liu CVBM 3DH ObjD 61 167 0 27 May 2021
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning William Andrew Jing Gao Siobhan Mullan Neill D. F. Campbell A. W. Dowsey T. Burghardt 103 105 0 16 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 338 12,966 0 26 May 2020
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation Zhaohui Zheng Ping Wang Dongwei Ren Wei Liu Rongguang Ye Q. Hu W. Zuo VLM 31 874 0 07 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 127 12,223 0 23 Apr 2020
CSPNet: A New Backbone that can Enhance Learning Capability of CNN Chien-Yao Wang H. Liao I-Hau Yeh Yueh-hua Wu Ping-Yang Chen J. Hsieh 80 3,101 0 27 Nov 2019
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 357 3,602 0 20 Aug 2019
Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference William Andrew C. Greatwood T. Burghardt 48 52 0 11 Jul 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 163 1,938 0 06 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 127 18,058 0 28 May 2019
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 103 21,386 0 08 Apr 2018
Path Aggregation Network for Instance Segmentation Shu Liu Lu Qi Haifang Qin Jianping Shi Jiaya Jia ISeg SSeg 92 5,726 0 05 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 583 130,942 0 12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,781 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 704 36,708 0 25 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 132 7,465 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,426 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 188 29,742 0 08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 634 36,801 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 450 62,122 0 04 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 383 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 323 11,199 0 18 Jun 2014