2 papers
cs.CV2025
A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation
Melika Sabaghian, Mohammad Ali Keyvanrad, Seyyedeh Mahila Moghadami
Efficient deployment of deep learning models for aerial object detection on resource-constrained devices requires significant compression without com-promising performance. In this…
cs.CV2025
Enhancing Small Object Detection with YOLO: A Novel Framework for Improved Accuracy and Efficiency
Mahila Moghadami, Mohammad Ali Keyvanrad, Melika Sabaghian
This paper investigates and develops methods for detecting small objects in large-scale aerial images. Current approaches for detecting small objects in aerial images often involve…