5 papers
Attention-based Assisted Excitation for Salient Object Detection
Saeed Masoudnia, Melika Kheirieh, Abdol-Hossein Vahabie +1
Visual attention brings significant progress for Convolution Neural Networks (CNNs) in various applications. In this paper, object-based attention in human visual cortex inspires u…
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker +4
We present a simple and effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed. During network training, we carefull…
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
Saeed Masoudnia, Omid Mersa, Babak N. Araabi +3
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially in presence of skilled forgeries that are not available during training. This study aims…
Active Transfer Learning for Persian Offline Signature Verification
Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini +1
Offline Signature Verification (OSV) remains a challenging pattern recognition task, especially in the presence of skilled forgeries that are not available during the training. Thi…
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach
Omid Mersa, Farhood Etaati, Saeed Masoudnia +1
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially when it is expected to generalize well on the skilled forgeries that are not available du…