most citedMulti-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs

59 citations · 90 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 1 cited

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…

cs.CV2019

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…

cs.CV2019★ 59 cited

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…

cs.CV2019★ 6 cited

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…

cs.CV2019★ 24 cited

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…