2C2S: A two-channel and two-stream transformer based framework for offline signature verification

References

Page 1

	Year	Citations
Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Image ClassificationDeep Neural NetworksMachine VisionImage AnalysisMachine Learning	2016	214.9K
MizAR 60 for Mizar 50 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)	2023	73.5K
ImageNet: A large-scale hierarchical image database Jia Deng, Wei Dong, Richard Socher, 2009 IEEE Conference on Computer Vision and Pattern Recognition EngineeringMachine LearningImage RetrievalImage DatabaseImage Recognition (Computer Vision)	2009	60.2K
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu, Yutong Lin, Yue Cao, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Swin TransformerConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning	2021	27.9K
Squeeze-and-Excitation Networks Jie Hu, Li Shen, Samuel Albanie, IEEE Transactions on Pattern Analysis and Machine Intelligence	2019	12.3K
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang, Enze Xie, Xiang Li, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Convolutional Neural NetworkEngineeringMachine LearningPyramid Vision TransformerDense Prediction	2021	4.5K
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios Xingkui Zhu, Shuchang Lyu, Xu Wang, Convolutional Neural NetworkEngineeringMachine LearningTransformer Prediction HeadImage Analysis	2021	2K
Transformer in Transformer Kai Han, An Xiao, Enhua Wu, arXiv (Cornell University) EngineeringMachine LearningElectric Power ConversionMultimodal LlmImage Analysis	2021	1K
Learning features for offline handwritten signature verification using deep convolutional neural networks Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira Pattern Recognition Convolutional Neural NetworkImage AnalysisMachine LearningEngineeringFeature Learning	2017	363
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity Kamran Shaukat, Suhuai Luo, Vijay Varadharajan, Energies Artificial IntelligenceFraud DetectionCybersecurityMachine LearningCyber Attacks	2020	294

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