Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

Understand

Activity detection is a fundamental problem in computer vision.

• Detecting activities of different temporal scales is particularly challenging.
• In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection.
• To deal with the inherent temporal scale variability of activity instances, the temporal feature pyramid is used to represent activities of different temporal scales.