Enhanced YOLOv12 Through Sliced Contrastive Supervision and Full Scene Fine-Tuning

Real-time detection of objects in drone-based imagery has proven to be a challenging task for even the most state-of-the-art deep learning models. Due to computational limitations, images are often scaled down during training, reducing the feature space and leading to decreased overall accuracy duri...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Javier E. Garza, Muhammad F. Islam
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Contrastive loss object detection real-time CIoU loss You Only Look Once (YOLO) VisDrone
Online Access:	https://ieeexplore.ieee.org/document/11113267/