Troika Generative Adversarial Network (T-GAN): A Synthetic Image Generator That Improves Neural Network Training for Handwriting Classification

Troika Generative Adversarial Network (T-GAN): A Synthetic Image Generator That Improves Neural Network Training for Handwriting Classification

Training an artificial neural network for handwriting classification requires a sufficiently sized annotated dataset in order to avoid overfitting. In the absence of sufficient instances, data augmentation techniques are normally considered. In this paper, we propose the troika generative adversaria...

Saved in:

書目詳細資料
Main Authors:	Milan, Joe Anthony M, Fernandez, Proceso L, Jr
格式:	text
出版:	Archīum Ateneo 2020
主題:	Handwriting Classification Generative Adversarial Networks Computer Sciences Databases and Information Systems
在線閱讀:	https://archium.ateneo.edu/discs-faculty-pubs/208 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1207&context=discs-faculty-pubs
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Troika Generative Adversarial Network (T-GAN): A Synthetic Image Generator That Improves Neural Network Training for Handwriting Classification
由: Milan, Joe Anthony M, et al.
出版: (2020)

Troika GAN vs Decoupled GAN: An Investigation on the Impact of Subnetwork Weight Sharing for Data Augmentation
由: Milan, Joe Anthony M, et al.
出版: (2020)

Augmenting image data using generative adversarial networks (GAN)
由: Liu, Xinchi
出版: (2024)

Be a cartoonist : editing anime images using generative adversarial network
由: Koh, Tong Liang
出版: (2022)

Multi-stage generative adversarial networks for generating pavement crack images
由: Han, Chengjia, et al.
出版: (2024)

The use of generative adversarial network and graph convolution network for neuroimaging-based diagnostic classification
由: Huynh, Nguyen, et al.
出版: (2024)

Segmentation and recognition of continuous handwriting Chinese text
由: Hong, C., et al.
出版: (2016)

GENERATIVE ADVERSARIAL NETWORK (GAN) MODEL IN ASSET PRICING.
由: WANG LINGJIE
出版: (2022)

Anime characters creation using generative adversarial networks with user inputs
由: Ang, Himari Lixin
出版: (2024)

High-quality face image generated with conditional boundary equilibrium generative adversarial networks
由: Huang, Bin, et al.
出版: (2020)

A review on generative adversarial networks: algorithms, theory, and applications
由: Gui, Jie, et al.
出版: (2022)

Building occupancy modeling using generative adversarial network
由: Chen Zhenghua, et al.
出版: (2020)

Haze removal from an image or a video via generative adversarial networks
由: Chen, Zhong Jiang
出版: (2024)

ID preserving face super-resolution generative adversarial networks
由: Li, J., et al.
出版: (2021)

Generating full-scale libraries from small-scale libraries through the use of generative adversarial networks
由: Sim, Ryan Yao Rong
出版: (2024)

Cross-scale generative adversarial network for crowd density estimation from images
由: Zhang, Gaowei, et al.
出版: (2022)

ASSET PRICING OPTIMIZATION THROUGH GENERATIVE ADVERSARIAL NETWORKS
由: LEOW YU SHENG JACKSON
出版: (2023)

Conditional time series simulation using generative adversarial networks
由: Song, Yuli
出版: (2024)

Neighbor-anchoring adversarial graph neural networks
由: Liu, Zemin, et al.
出版: (2023)

Ship-GAN: Generative modeling based maritime traffic simulator
由: BASRUR, Chaithanya, et al.
出版: (2021)

Neighbor-anchoring adversarial graph neural networks
由: LIU, Zemin, et al.
出版: (2023)

A SELECTIVE GAN-BASED DATA AUGMENTATION METHOD FOR MEDICAL IMAGE CLASSIFICATION
由: LIU ZHANHONG
出版: (2023)

Underwater Image Translation via Multi-Scale Generative Adversarial Network
由: YANG, Dongmei, et al.
出版: (2023)

Generative adversarial network for fault detection diagnosis of chillers
由: Ke Yan, et al.
出版: (2021)

A Generative Model for category text generation
由: Li, Yang, et al.
出版: (2020)

Ship-GAN: Generative modeling based maritime traffic simulator
由: BASRUR, Chaithanya Shankaramurthy, et al.
出版: (2021)

DO-GAN: A double oracle framework for generative adversarial networks
由: AUNG, Aye Phyu Phye, et al.
出版: (2022)

Music generation with generative adversarial network (GAN)
由: Tan, Yi Zhuang
出版: (2021)

Some lower bounds in dynamic networks with oblivious adversaries
由: I. Jahja, et al.
出版: (2021)

Some lower bounds in dynamic networks with oblivious adversaries
由: I. Jahja, et al.
出版: (2021)

Two-way generation of high-resolution EO and SAR images via dual distortion-adaptive GANs
由: Qing, Yuanyuan, et al.
出版: (2023)

Adversarial attack defenses for neural networks
由: Puah, Yi Hao
出版: (2024)

Traffic flow online prediction based on a generative adversarial network with multi-source data
由: Sun, Tuo, et al.
出版: (2022)

Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis
由: Zhang, Xuanmeng, et al.
出版: (2023)

Adversarial learning on heterogeneous information networks
由: HU, Binbin, et al.
出版: (2019)

Convergence of non-convex non-concave GANs using sinkhorn divergence
由: Adnan, Risman, et al.
出版: (2022)

On the power of randomization in distributed algorithms in dynamic networks with adaptive adversaries
由: I. Jahja, et al.
出版: (2021)

Generative adversarial network (GAN) for image synthesis
由: Hou, Boyu
出版: (2022)

Learning invariant and uniformly distributed feature space for multi-view generation?
由: LU, Yuqin, et al.
出版: (2023)

Cascade EF-GAN : progressive facial expression editing with local focuses
由: Wu, Rongliang, et al.
出版: (2021)