1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
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…
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
Mahdi Rahmani, Melika Sabaghian, Seyyede Mahila Moghadami +3
Object detection has always been practical. There are so many things in our world that recognizing them can not only increase our automatic knowledge of the surroundings, but can a…