Training deep neural network models for accurate recognition of texts in scenes

Training deep neural network models for accurate recognition of texts in scenes

Scene text recognition has been a research challenge for many years and is undoubtedly non-trivial due to varying conditions in natural scene images. This technology, however, is highly significant in many vision-based applications beyond document analysis. In this paper, a state-of-the-art neural n...

Saved in:

書目詳細資料
主要作者:	Lim, Joshen Eng Keat
其他作者:	Lu Shijian
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2020
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/137977
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Training deep network models for accurate recognition of texts in scenes
由: Teo, Ren Jie
出版: (2020)

Training deep network models for accurate recognition of texts in scene images
由: Chen, Pengfei
出版: (2021)

Training deep network models for accurate detection of text in scenes
由: Teow, Jeslynna Zhini
出版: (2020)

Training deep network models for accurate recognition of texts in scenes
由: See, Yu Xiang
出版: (2021)

Training deep network models for accurate recognition of texts in scene images
由: Zhang, Weilun
出版: (2022)

Training deep network models for accurate recognition of texts in scenes
由: Chen, Cheng
出版: (2021)

Training deep network models for accurate recognition of texts in scenes
由: Teo, Zhi Kai
出版: (2022)

Training deep network models for accurate recognition of texts in scenes
由: Sui, Lulu
出版: (2023)

Deep neural networks for identifying causal relations in texts
由: Chen, Siyuan
出版: (2023)

Training deep network models for accurate detection of texts in scenes
由: Lee, Chun Fei
出版: (2023)

Deep machine learning based scene understanding
由: Wo, Benjamin Shun Xian
出版: (2022)

Spiking neural network for object recognition
由: Li, Wei
出版: (2023)

Graph convolutional neural networks for text categorization
由: Lakhotia, Suyash
出版: (2018)

Hybrid deep neural network and deep reinforcement learning for algorithmic finance
由: Ooi, Min Hui
出版: (2022)

Deep neural networks for time series classification
由: Cheng, Wen Xin
出版: (2023)

Masked face recognition using convolutional neural network
由: Wu, Peihang
出版: (2023)

Using deep neural networks for chess position evaluation
由: Phang, Benito Yan Feng
出版: (2023)

Deep GRU neural networks for gold price prediction
由: Kuan, Soon Yee
出版: (2023)

Deep neural network compression : from sufficient to scarce data
由: Chen, Shangyu
出版: (2021)

Deep neural network compression for pixel-level vision tasks
由: He, Wei
出版: (2021)

Stock trading prediction using deep learning neural networks
由: Ong, Hao Cong
出版: (2021)

Keyword and named entity recognition on emergency call texts
由: Hu, Wanyu
出版: (2020)

Accurate and robust detection and recognition of texts in scene
由: Xue, Chuhui
出版: (2022)

Deep neural networks for spatio-temporal analysis of rs-fMRI in ADHD
由: Abhay Mallikarjun Somaradhya Aradhya
出版: (2022)

Interpretable fuzzy-embedded deep neural network with its application in stock trading
由: Koh, Amadeus Ying Jie
出版: (2023)

Deep learning for fusing speech and text for detection of Alzheimer’s Disease
由: Tan, Jun Xian
出版: (2022)

Scene parsing with deep neural networks
由: Ding, Henghui
出版: (2020)

Facial expression recognition study based on convolutional neural network
由: Yu, Zhen Lin
出版: (2019)

Attack on training effort of deep learning
由: How, Kevin Kai-Wen
出版: (2021)

3D scene graph generation from synthesis 3D indoor scene
由: Qin, Huaiyuan
出版: (2023)

Open-set pattern recognition and its application in information extraction from text
由: Ke, Yizhen
出版: (2023)

Embedding watermarks into deep neural networks of audio classification
由: Chin, Jun Ying
出版: (2021)

EEG-based stress recognition using deep learning techniques
由: Ang, Jerica
出版: (2021)

Image recognition using artificial intelligence (old photo colourisation using deep neural network)
由: Lin, Jinmin
出版: (2021)

Robust and efficient deep learning methods for vision-based action recognition
由: Xu, Yuecong
出版: (2021)

Deep learning techniques for text classification
由: Raihan, Diardano
出版: (2021)

Training-free neural active learning with initialization robustness guarantees
由: Singh, Jasraj
出版: (2023)

Attack on prediction confidence of deep learning neural networks
由: Ng, Garyl Xuan
出版: (2022)

Pavement defect detection with deep convolutional neural network
由: Chan, Zhen Yi
出版: (2023)

Towards deep neural networks robust to adversarial examples
由: Matyasko, Alexander
出版: (2020)