Deep learning for practical image recognition: Case study on kaggle competitions

• Main Authors: YANG, Xulei, ZENG, Zeng, TEO, Sin G., WANG, Li, CHANDRASEKAR, Vijay, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: And image classification; Image recognition; Deep learning; Objection detection; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4184; https://ink.library.smu.edu.sg/context/sis_research/article/5187/viewcontent/2018_kaggle_kdd.pdf
• Institution: Singapore Management University

In past years, deep convolutional neural networks (DCNN) have achieved big successes in image classification and object detection, as demonstrated on ImageNet in academic field. However, There are some unique practical challenges remain for real-world image recognition applications, e.g., small size...