Synergistic Enhancement of Compromised Skin Radiance: A Clinical Investigation of Prinsepia utilis Royle Polysaccharides and Nonapeptide Co-Application. [PDF]
J Cosmet DermatolQin C +8 more
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Pruning random resistive memory for optimizing analog AI. [PDF]
Nat CommunLi Y +22 more
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Single-cell spatial profiling identifies a mucosal-like epithelial signature in Hidradenitis suppurativa tunnels. [PDF]
JCI InsightDimitrion P +11 more
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Scene Text Recognition Based on Improved CRNN
Information (Switzerland), 2023 Text recognition is an important research topic in computer vision. Scene text, which refers to the text in real scenes, sometimes needs to meet the requirement of attracting attention, and there is the situation such as deformation. At the same time, the image acquisition process is affected by factors such as occlusion, noise, and obstruction, making
Hamdulla Askar, Mayire Ibrayim
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A CRNN module for hand pose estimation
Neurocomputing, 2019Abstract Hand pose estimation plays an important role in human–computer interaction. The traditional way is to deal with a video stream frame by frame. However, since the gesture in the video is changing continuously, the adjacent frames must be highly related to each other.
Zhongxu Hu, Jie Liu, Zhongxu Hu
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Deep Learning Based Path-Planning Using CRNN and A* for Mobile Robots
Lecture Notes in Networks and Systems, 2023 We present a novel approach for solving path-planning problems using a state-of-the-art data-driven deep learning technique. Although machine learning has been previously utilized for path planning, it has proven to be challenging due to the discrete ...
Umar Adeel +2 more
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CRNN-based Joint Azimuth and Elevation Localization with the Ambisonics Intensity Vector [PDF]
, 2018 International audienceWe present a source localization system for first-order Ambisonics (FOA) contents based on a stacked convolutional and recurrent neural network (CRNN).
Emmanuel Vincent +2 more
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Crnn-Ctc Based Mandarin Keywords Spotting
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Deep learning based approaches have greatly improved the performance of spoken keyword spotting (KWS). However, KWS of different languages should have their own corresponding modeling units to optimize the performance. In this paper, we propose an end-to-end Mandarin KWS system using Convolutional Recurrent Neural Network with the Connectionist ...
Haikang Yan, Qianhua He, Wei Xie 0013
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MA-CRNN: a multi-scale attention CRNN for Chinese text line recognition in natural scenes
International Journal on Document Analysis and Recognition (IJDAR), 2019The recognition methods for Chinese text lines, as an important component of optical character recognition, have been widely applied in many specific tasks. However, there are still some potential challenges: (1) lack of open Chinese text recognition dataset; (2) challenges caused by the characteristics of Chinese characters, e.g., diverse types ...
Guofeng Tong +5 more
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Medical Handwritten Prescription Recognition Using CRNN
2019 International Conference on Computer, Information and Telecommunication Systems (CITS), 2019Reading a doctor’s handwritten prescription is a challenge that most patients and some pharmacists face; an issue that, in some cases, lead to negative consequences due to wrong deciphering of the prescription. Part of the reason why doctor’s prescriptions are so difficult to decipher is that doctors make use of Latin abbreviations and medical ...
Roger Achkar +4 more
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