Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
Python implementation of some common Connectionist Temporal Classification (CTC) decoding algorithms. A minimalistic language model is provided. The output mat (numpy array, softmax already applied) ...
Abstract: Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic colors and low ...
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