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Found 6 papers, 0 papers with code
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
Nevertheless, the models are usually larger than the baseline for a single domain.
CNNs for JPEGs: A Study in Computational Cost
In this paper, we propose a further study of the computational cost of deep models designed for the frequency domain, evaluating the cost of decoding and passing the images through the network.
Budget-Aware Pruning for Multi-Domain Learning
Nevertheless, the models are usually larger than the baseline for a single domain.
Less is More: Accelerating Faster Neural Networks Straight from JPEG
Most image data available are often stored in a compressed format, from which JPEG is the most widespread.
Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain
For this reason, a preliminary decoding process is required, since video data are often stored in a compressed format.
CNNs for JPEGs: A Study in Computational Cost
In this paper, we propose a further study of the computational cost of deep models designed for the frequency domain, evaluating the cost of decoding and passing the images through the network.
