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Abstract: Variable rate is a requirement for flexible and adaptable image and video compression. However, deep image compression methods (DIC) are optimized for a single fixed rate-distortion (R-D) ...
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Abstract: We propose a data-driven approach for deep convolutional neural network compression that achieves high accuracy with high throughput and low memory requirements. Current network compression ...
Channel pruning has been broadly recognized as an effective technique to reduce the computation and memory cost of deep convolutional neural networks. However, conventional pruning methods have ...
According to the details about the vulnerability published shortly before Christmas, attackers can exploit a flaw in the zlib compression software to access non-reset dynamic memory (heap memory).
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