VIM HJK

Techs that I've used at least once. 👋 Hello I'm HyoJin Kim. My major is computer engineering 💻 . I have project experience using Python(My most confident language), C++, and Java & Android languages. I am very interested in Deep Learning. I am especially interested in Computer Vision and Image Processing.

Fashion image analysis has attracted significant research attention owing to the availability of large-scale fashion datasets with rich annotations. However, existing deep learning models for fashion datasets often have high computational requirements. In this study, we propose a new model suitable for low-power devices.

10 November 2020 Fashion image analysis using single-stage detector Clothing detection and landmark detection are important techniques in fashion image analysis. The availability of large annotated fashion datasets has made fashion image analysis a hot research topic. This paper proposes a single-stage detector that performs bounding box detection, fashion landmark detection, and can also predict end-to-end clothing category classification.

Home ICPS Proceedings AICCC 2020 Designing of Loss Function for 3D Pedestrian Detection using CenterNet