Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
Paper summary _Objective:_ Compare several meta-architectures and hyper-parameters in the same framework for easy comparison. ## Architectures: Four meta architectures: 1. R-CNN 2. Faster R-CNN 3. SSD 4. YOLO Architecture (not evaluated in the paper) [![screen shot 2017-05-05 at 3 12 57 pm](https://cloud.githubusercontent.com/assets/17261080/25746807/5a294360-31a5-11e7-808e-d48497a16cd5.png)](https://cloud.githubusercontent.com/assets/17261080/25746807/5a294360-31a5-11e7-808e-d48497a16cd5.png) ## Results: Very interesting to know which framework to implement or not at first glance.

Summary by Léo Paillier 3 months ago
Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: and