Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4. - Arunabha M. Roy; Jayabrata Bhaduri (Comput. Electron. Agric., 2022)

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. - Arunabha M. Roy; Rikhi Bose; Jayabrata Bhaduri (Neural Comput. Appl., 2022)

A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head. - Arunabha M. Roy; Jayabrata Bhaduri (CoRR, 2023)

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism. - Arunabha M. Roy; Jayabrata Bhaduri (Adv. Eng. Informatics, 2023)

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. - Arunabha M. Roy; Jayabrata Bhaduri; Teerath Kumar; Kislay Raj (Ecol. Informatics, 2023)