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CompressNet: Generative Compression at Extremely Low Bitrates
Compressing images at extremely low bitrates (< 0. 1 bpp) has always been a challenging task since the quality of reconstruction significantly reduces due to the strong imposed constraint on the number of bits allocated for the compressed data.
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network
We investigate and analyse the performance of popular CNN architectures (GoogleNet, AlexNet), used for other image classification tasks, when subjected to the task of detecting the selfies on the multimedia platform.
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