WebLensless facial recognition with encrypted optics and a neural network computation. Ming-Hsuan Wu, Ya-Ti Chang Lee, and Chung-Hao Tien. Appl. Opt. 61(26) 7595-7601 (2024) Incoherent reconstruction-free object recognition with mask-based lensless optics and the Transformer. Xiuxi Pan, Xiao Chen, Tomoya Nakamura, and Masahiro Yamaguchi. WebJun 9, 2014 · Our method is trained on SynText [37] and Synth90K [38], with approximately 12 million images as the training set. The experiments are conducted on NVIDIA V100 GPU with 32 G memory. ...
Synthetically Supervised Feature Learning for Scene Text …
WebDownload scientific diagram Evaluation Results on Synth90k Dataset from publication: A Hardware-Oriented and Memory-Efficient Method for CTC Decoding The Connectionist Temporal Classification ... WebAuthor(s): Lee, Chen-Yu Advisor(s): Lee, Zhuowen; Cosman, Pamela Abstract: This thesis presents two principled approaches to improve the performance of convolutional neural networks on visual recognition and demonstrates the effectiveness of CNNs on optical character recognition problem. First, we propose deeply-supervised nets (DSN), a method … charge stations
PlugNet: Degradation Aware Scene Text Recognition Supervised …
WebThe exact data used to train our deep convolutional neural networks (see our research page) is available below. This is synthetically generated dataset which we found sufficient for training text recognition on real-world images. This dataset consists of 9 million images covering 90k English words, and includes the training, validation and test ... WebJul 14, 2024 · Deep learning-based object detection method has been applied in various fields, such as ITS (intelligent transportation systems) and ADS (autonomous driving systems). Meanwhile, text detection and recognition in different scenes have also attracted much attention and research effort. In this article, we propose a new object-text detection … charge station for devices