TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems

arXiv:2405.01857v1 Announce Type: cross
Abstract: Image segmentation is one of the major computer vision tasks, which is applicable in a variety of domains, such as autonomous navigation of an unmanned aerial vehicle. However, image segmentation cannot easily materialize on tiny embedded systems because image segmentation models generally have high peak memory usage due to their architectural characteristics. This work finds that image segmentation models unnecessarily require large memory space with an existing tiny machine learning framework. That is, the existing …

abstract aerial arxiv autonomous computer computer vision cs.cv cs.ne domains embedded framework however image major materialize navigation segmentation systems tasks type unmanned aerial vehicle vision