I'm a graduate student in Computer Science at San Francisco State University, pursuing the passion for Machine Learning, Web Development and etc. Before coming to SFSU, I recieved my master degree at Columbia University in 2015. I received my bachelor degree from Southeast University (Nanjing, China) in 2013.
And I'm blessed with a fabulous family. Me and my husband are the proud parents of two kids. In my free time, I enjoy hiking, cooking, painting and traveling.
- Skills: Machine Learning, Computer Vision, Multi-threading Programming, Tool Development
- Systems: Linux, OS X
- Java App
This section is to keep track of some of my tech blogs and stories of my personal life.
I did a literature survey based on object detection (R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN). This review begins with a brief introduction on the four fundamental visual recognition problems in the field of computer vision and compare traditional methods with deep learning based methods. Then, I mainly focus on object detection architectures: R-CNN, Fast R-CNN, Faster R-CNN and one instance segmentation architecture: Mask R-CNN. In each section, I introduce model workflow, then summarize the achievements and analyze the disadvantages. Finally, I compare these architectures and write down some of my thoughts.