Top 3 Artificial Intelligence Research Papers – August 2020

If you work in computer vision, you probably know that object detection is an important topic with a lot of solutions flying around. Especially the new ones which use deep learning. In general, these solutions are separated into two types: one-stage detectors and two-stage detectors. The main difference is that two-stage detector a number of object box proposals and then perform classification and localization tasks on them, while one-stage detectors predict the object class directly from the pre-designed candidate boxes – anchors. This difference causes one-stage detectors to be faster, but two-stage detectors to have higher accuracy.