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Learning features for offline handwritten signature verification using deep convolutional neural networks.

, , and . Pattern Recognit., (2017)

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Transfer learning between texture classification tasks using Convolutional Neural Networks., , , and . IJCNN, page 1-7. IEEE, (2015)Group Activity Detection from Trajectory and Video Data in Soccer., , , , and . CVPR Workshops, page 3932-3940. Computer Vision Foundation / IEEE, (2020)Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses., , , , , and . CVPR, page 4322-4330. Computer Vision Foundation / IEEE, (2019)Forest Species Recognition Using Deep Convolutional Neural Networks., , and . ICPR, page 1103-1107. IEEE Computer Society, (2014)Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks., , and . IJCNN, page 2576-2583. IEEE, (2016)Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses., , , , , and . CoRR, (2018)A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos., and . CVPR Workshops, page 5129-5138. IEEE, (2023)DESlib: A Dynamic ensemble selection library in Python., , , and . CoRR, (2018)Offline handwritten signature verification - Literature review., , and . IPTA, page 1-8. IEEE, (2017)Analyzing features learned for Offline Signature Verification using Deep CNNs., , and . ICPR, page 2989-2994. IEEE, (2016)