Object Tracking with Compressed Networks

Alexander Alfvén · Lund University Publications Student Papers (Lund University) · 2016

With the goal of making object tracking neural networks more suitable for phones and tablets, a quantisation process demonstrates considerable reductions in hardware requirements at surprisingly minimal accuracy losses.

Read the paper · More papers on PaperTik