paper-with-me

Papers

Boosting cattle face recognition under uncontrolled scenes by embedding enhancement and optimization

2024-06-27 · Applied Soft Computing 2024 6 · Xingshi Xu, Hongxing Deng, Yunfei Wang, Shujin Zhang, Huaibo Song

In Precision Livestock Farming (PLF), automated monitoring and management systems offer farmers and veterinarians reliable information, alerts, and reference decision-making tools, thereby aiding in cost reduction and efficiency enhancement in livestock farming. Achieving individual cattle identification is a fundamental requirement for realizing PLF in cattle farms.

📄 PDF Abstract BibTeX

Code (1)

XingshiXu/CAAID

Tasks

cow identificationDecision MakingFace RecognitionManagement

Similar Papers 제목 키워드 기반

A Parallel Attention Network for Cattle Face Recognition

2024-03-29 · Jiayu Li, Xuechao Zou, Shiying Wang, Ben Chen 외

Cattle face recognition holds paramount significance in domains such as animal husbandry and behavioral research. Despite significant progress in confined environments, applying these accomplishments in wild settings rem…

Face RecognitionPosition

Cattle-CLIP: A Multimodal Framework for Cattle Behaviour Recognition from Video

2025-10-10 · Huimin Liu, Jing Gao, Daria Baran, AxelX Montout 외 arxiv

Robust behaviour recognition in real-world farm environments remains challenging due to several data-related limitations, including the scarcity of well-annotated livestock video datasets and the substantial domain gap b…

Few-Shot Learning

Real-Time Cattle Interaction Recognition via Triple-stream Network

2022-09-06 · Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa

In stockbreeding of beef cattle, computer vision-based approaches have been widely employed to monitor cattle conditions (e.g. the physical, physiology, and health). To this end, the accurate and effective recognition of…

Self-Supervised Learning

Beyond Humans: Multispecies Animal Face Recognition Using Transfer Learning

2026-06-08 · Maria De Marsico, Anil K. Jain, Annalaura Miglino arxiv

Individual animal recognition can be useful in the search for lost or stolen pets, the tracking of individuals of endangered species, and the recognition of animals in crowded farms. Present recognition techniques mostly…

Transfer LearningFace Recognition

CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark

2024-06-05 · Ethan Coffman, Reagan Clark, Nhat-Tan Bui, Trong Thang Pham 외

To address this challenge, we introduce CattleFace-RGBT, a RGB-T Cattle Facial Landmark dataset consisting of 2,300 RGB-T image pairs, a total of 4,600 images. Creating a landmark dataset is time-consuming, but AI-assist…

Benchmarking