TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression [article]

Nikolina Kubiak, Simon Hadfield
<span title="2021-09-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present TACTIC: Task-Aware Compression Through Intelligent Coding. Our lossy compression model learns based on the rate-distortion-accuracy trade-off for a specific task. By considering what information is important for the follow-on problem, the system trades off visual fidelity for good task performance at a low bitrate. When compared against JPEG at the same bitrate, our approach is able to improve the accuracy of ImageNet subset classification by 4.5%. We also demonstrate the
more &raquo; ... y of our approach to other problems, providing a 3.4% accuracy and 4.9% mean IoU improvements in performance over task-agnostic compression for semantic segmentation.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.10658v1">arXiv:2109.10658v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bj3i2pp6wfedpbtbj4e2w4jy7u">fatcat:bj3i2pp6wfedpbtbj4e2w4jy7u</a> </span>
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