Mobile Video Object Detection with Temporally-Aware Feature Maps

CVPR 2018 Mason LiuMenglong Zhu

This paper introduces an online model for object detection in videos designed to run in real-time on low-powered mobile and embedded devices. Our approach combines fast single-image object detection with convolutional long short term memory (LSTM) layers to create an interweaved recurrent-convolutional architecture... (read more)

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