Accurate Object Detection and Semantic Segmentation by Regions with Convolutional Neural Network

liuqingp - Posted on 13 February 2017

Project Description:

The project is my MSc(CompSc) Dissertation. We would implement an object recognition model based on the paper in CVPR2014: Rich feature hierarchies for accurate object detection and semantic segmentation.

Researcher name:

Dr. K.P. Chan

Researcher position:

Associate Professors

Researcher department:

Department of Computer Science

Researcher email:

kpchan@cs.hku.hk

Research Project Details

Project Duration:

02/2017 to 12/2017

Project Significance:

Our objective is to design a model which will try to employ many technologies so as to find a new way or insights to achieve a higher accuracy. This project is significant because object recognition is a necessity on both academia and industry and need to be further improved.

Results Achieved:

We just start to work.

Remarks:

With the help of HPC, we can train our model more fast and spend more time designing and iteratively optimizing our model.

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Accurate Object Detection and Semantic Segmentation by Regions with Convolutional Neural Network