# TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression

Source: [TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression](<https://www.sota2.com/research/paper/68fa58781e209131ce9ae885>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T15:21:36.715Z

Authors: Nikolina Kubiak, Simon Hadfield

Published: 2021-09-22T11:27:57.000Z

## Abstract

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 applicability 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2109.10658>)

[PDF](<https://arxiv.org/pdf/2109.10658.pdf>)