Ladon is the first multi-task supervised compression model for split computing, sharing one encoder and one preprocessing pipeline to run classification, detection, and segmentation in a single inference.
Variational image compression with a scale hyperprior
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A Multi-task Supervised Compression Model for Split Computing
Ladon is the first multi-task supervised compression model for split computing, sharing one encoder and one preprocessing pipeline to run classification, detection, and segmentation in a single inference.