Company Filing History:
Years Active: 2024
Title: Innovations of Peng Tang in Scene Text Recognition
Introduction
Peng Tang is an accomplished inventor based in Union City, CA (US). He has made significant contributions to the field of neural networks, particularly in the area of scene text recognition. His innovative approach combines advanced neural network architectures to achieve high accuracy in text prediction from various scenes.
Latest Patents
Peng Tang holds a patent for a system that utilizes a neural network-based model for scene text recognition. This system employs a double attention mechanism to enhance the accuracy of text recognition. The architecture includes a convolutional neural network component that generates visual features, while an attention extractor neural network component calculates attention scores based on these features. By combining visual features and attention scores, the system produces mixed features that are input into a character recognizer component. This component further refines the attention scores and accurately recognizes characters. The training of the neural network model involves adjusting parameters to minimize a multi-class gradient harmonizing mechanism (GHM) loss, which varies according to the difficulty level of the sample.
Career Highlights
Peng Tang is currently employed at Salesforce, Inc., where he continues to develop innovative solutions in the field of artificial intelligence and machine learning. His work has garnered attention for its practical applications and effectiveness in real-world scenarios.
Collaborations
Some of his notable coworkers include Pan Zhou and Ran Xu, who contribute to the collaborative environment that fosters innovation at Salesforce, Inc.
Conclusion
Peng Tang's contributions to neural network-based scene text recognition exemplify the potential of artificial intelligence in enhancing text recognition capabilities. His innovative patent reflects a significant advancement in the field, showcasing the importance of collaboration and creativity in technological development.