AMT-JRD model predicts multi-task JRDs with MAE 3.781, outperforming single-task baselines by 6.7% and delivering 3.861% BD-mAP gain over VVC in VCM coding.
Aggregated residual transformations for deep neural networks
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Multi-task Just Recognizable Difference for Video Coding for Machines: Database, Model, and Coding Application
AMT-JRD model predicts multi-task JRDs with MAE 3.781, outperforming single-task baselines by 6.7% and delivering 3.861% BD-mAP gain over VVC in VCM coding.