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Found 5 papers, 0 papers with code
Attention-based Assisted Excitation for Salient Object Detection
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.
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
We present a simple and effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed.
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
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.
Active Transfer Learning for Persian Offline Signature Verification
We benefit from transfer learning using a pre-trained CNN for feature learning.
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach
Our proposed OSV system includes two steps: learning representation and verification of the input signature.
