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Abstract: In computer vision, neural network models typically require a large amount of manually annotated images or video data for training. To reduce annotation costs, self-supervised learning has ...

Abstract: This work aims for transferring a Transformer-based image compression codec from human perception to machine perception without fine-tuning the codec. We propose a transferable ...

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