Area of research
Animal Science and Zoology · Small Animals
Research interest
Research focused on Artificial intelligence and Pose, with related work in Computer vision, Algorithm, Standard deviation. Notable publications include 'A detection method for dead caged hens based on improved YOLOv7', 'A defencing algorithm based on deep learning improves the detection accuracy of caged chickens', and 'Study on Poultry Pose Estimation Based on Multi-Parts Detection'.
Dead Chicken Identification Method Based on a Spatial-Temporal Graph Convolution Network
Enhanced Methodology and Experimental Research for Caged Chicken Counting Based on YOLOv8
Weight prediction method for individual live chickens based on single-view point cloud information
Improved YOLO-Goose-Based Method for Individual Identification of Lion-Head Geese and Egg Matching: Methods and Experimental Study
A detection method for dead caged hens based on improved YOLOv7
MCP: Multi-Chicken Pose Estimation Based on Transfer Learning
The Posture Detection Method of Caged Chickens Based on Computer Vision
Measurement method for live chicken shank length based on improved ResNet and fused multi-source information
Visual Navigation of Caged Chicken Coop Inspection Robot Based on Road Features
Super-resolution fusion optimization for poultry detection: a multi-object chicken detection method
A defencing algorithm based on deep learning improves the detection accuracy of caged chickens
Study on Poultry Pose Estimation Based on Multi-Parts Detection
Shank length and circumference measurement algorithm of breeder chickens based on extraction of regional key points