In this post, I want to talk about static methods and class methods in Python 2. There are many related questions on Stack Overflow, and I want to summarize the ideas of the answers.

This paper is accepted to CVPR 2017. It’s an interesting paper that borrowes ideas from RNN for combining the information from both lower and higher layers’ feature maps.

In Google Research’s paper Speed/accuracy trade-offs for modern convolutional object detectors, an experimental comparison is performed for the three popular object detectors (Faster R-CNN, R-FCN and SSD). Here I want to take note of some important results from this paper. Models details and configurations can be found in the paper.

This is my first post.
I will write down my thoughts in this blog.