A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images-Reference-Cited by-同舟云学术

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A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

He Ruiwen¹,Benhabiles Halim¹,Windal Feryal¹,Even Gael²,Audebert Christophe²,Collard Dominique³,Taleb-Ahmed Abdelmalik¹

Affiliation:

1. Univ. Lille,CNRS, Centrale Lille, Junia, Univ. Polytechnique Hauts-de-France UMR 8520 - IEMN - Institut d’Electronique de Microélectronique et de Nanotechnologie,Lille,France,F-59000

2. GD Biotech - Gènes Diffusion,Lille,France,59000

3. LIMMS/CNRS-IIS The University of Tokyo,Lille,France,IRL 2820

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897442.pdf?arnumber=9897442

Reference20 articles.

1. Identifying the Mating Posture of Cattle Using Deep Learning-Based Object Detection with Networks of Various Settings

2. Deformable detr: Deformable transformers for end-to-end object detection;zhu;International Conference on Learning Representations,2020

3. Estrus Detection Using Background Image Subtraction Technique in Tie-Stalled Cows

4. Detection of cow mounting behavior using region geometry and optical flow characteristics

5. Fast R-CNN

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