ArticleAnimals : an open access journal from MDPI2023
Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion.
Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 32 citations in OpenAlex.
- Advancements in Individual Animal Identification: A Historical Perspective from Prehistoric Times to the Present.Animals : an open access journal from MDPI · 2025Review
- YOLOv10n-CF-Lite: A Method for Individual Face Recognition of Hu Sheep Based on Automated Annotation and Transfer Learning.Animals : an open access journal from MDPI · 2025Article
- Aging-Invariant Sheep Face Recognition Through Feature Decoupling.Animals : an open access journal from MDPI · 2025Article
- YOLO-SDD: An Effective Single-Class Detection Method for Dense Livestock Production.Animals : an open access journal from MDPI · 2025Article
- Multi-Modality Sheep Face Recognition Based on Deep Learning.Animals : an open access journal from MDPI · 2025Article
- PigFRIS: A Three-Stage Pipeline for Fence Occlusion Segmentation, GAN-Based Pig Face Inpainting, and Efficient Pig Face Recognition.Animals : an open access journal from MDPI · 2025Article
- Pig Face Open Set Recognition and Registration Using a Decoupled Detection System and Dual-Loss Vision Transformer.Animals : an open access journal from MDPI · 2025Article
- Recognition of Foal Nursing Behavior Based on an Improved RT-DETR Model.Animals : an open access journal from MDPI · 2025Article
- Research on herd sheep facial recognition based on multi-dimensional feature information fusion technology in complex environment.Frontiers in veterinary science · 2025Article
- Research trends in livestock facial identification: a review.Journal of animal science and technology · 2025Review
- Research on a High-Efficiency Goat Individual Recognition Method Based on Machine Vision.Animals : an open access journal from MDPI · 2024Article
- A Sheep Identification Method Based on Three-Dimensional Sheep Face Reconstruction and Feature Point Matching.Animals : an open access journal from MDPI · 2024Article
- Video dataset of sheep activity for animal behavioral analysis via deep learning.Data in brief · 2024Article
- Lightweight model-based sheep face recognition via face image recording channel.Journal of animal science · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep's identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting angle in the recognition process have an impact on the recognition accuracy. In this study, we propose a deep learning model based on the RepVGG algorithm and bilinear feature extraction and fusion for the recognition of sheep faces. The model training and testing datasets consist of photos of sheep faces at different distances and angles. We first design a feature extraction channel with an attention mechanism and RepVGG blocks. The RepVGG block reparameterization mechanism is used to achieve lossless compression of the model, thus improving its recognition efficiency. Second, two feature extraction channels are used to form a bilinear feature extraction network, which extracts important features for different poses and angles of the sheep face. Finally, features at the same scale from different images are fused to enhance the feature information, improving the recognition ability and robustness of the network. The test results demonstrate that the proposed model can effectively reduce the effect of sheep face pose on the recognition accuracy, with recognition rates reaching 95.95%, 97.64%, and 99.43% for the sheep side-, front-, and full-face datasets, respectively, outperforming several state-of-the-art sheep face recognition models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.