TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
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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 problems, providing a 3.4 performance over task-agnostic compression for semantic segmentation.
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