no code implementations • 31 Mar 2020 • Saeed Masoudnia, Melika Kheirieh, Abdol-Hossein Vahabie, Babak Nadjar Araabi
In this paper, object-based attention in human visual cortex inspires us to introduce a mechanism for modification of activations in feature maps of CNNs.
no code implementations • CVPR 2019 • Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak N. Araabi
We present a simple and effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed.
no code implementations • 11 Mar 2019 • Saeed Masoudnia, Omid Mersa, Babak N. Araabi, Abdol-Hossein Vahabie, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi
We conducted two sets of experiments based on two different protocols of OSV, i. e., writer-dependent and writer-independent on three signature datasets: GPDS-Synthetic, MCYT, and UT-SIG.
no code implementations • 28 Feb 2019 • Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak N. Araabi
We benefit from transfer learning using a pre-trained CNN for feature learning.
no code implementations • 28 Feb 2019 • Omid Mersa, Farhood Etaati, Saeed Masoudnia, Babak N. Araabi
Our proposed OSV system includes two steps: learning representation and verification of the input signature.