Efficient Multi-Resolution Video Object Detection on Ultra-Low-Power Embedded Systems

This paper introduces Multi-Resolution Rescored ByteTrack (MR2-ByteTrack), a novel video object detection framework that reduces the average compute load of deep neural networks by alternating the processing of high-resolution and multiple down-sized frames, while maintaining accuracy through temporal correlation and a novel probabilistic rescoring algorithm.