24 citations · 65 across the 8 of their papers we have counts for
10 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…
Explaining What Machines See: XAI Strategies in Deep Object Detection Models
FatemehSadat Seyedmomeni, Mohammad Ali Keyvanrad
In recent years, deep learning has achieved unprecedented success in various computer vision tasks, particularly in object detection. However, the black-box nature and high complex…
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…
Architectural Insights into Knowledge Distillation for Object Detection: A Comprehensive Review
Mahdi Golizadeh, Nassibeh Golizadeh, Mohammad Ali Keyvanrad +1
Object detection has achieved remarkable accuracy through deep learning, yet these improvements often come with increased computational cost, limiting deployment on resource-constr…
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Helia Mohamadi, Mohammad Ali Keyvanrad, Mohammad Reza Mohammadi
Domain adaptation, a pivotal branch of transfer learning, aims to enhance the performance of machine learning models when deployed in target domains with distinct data distribution…
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…
Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics
Zahra Soleimanitaleb, Mohammad Ali Keyvanrad
Object tracking is one of the foremost assignments in computer vision that has numerous commonsense applications such as traffic monitoring, robotics, autonomous vehicle tracking,…
Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy
Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour
Nowadays this is very popular to use deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines (RBM…
A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet)
Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour
Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines…
Deep Belief Networks for Image Denoising
Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour
Deep Belief Networks which are hierarchical generative models are effective tools for feature representation and extraction. Furthermore, DBNs can be used in numerous aspects of Ma…