Yes, in my two attempts at updating the API as well as the current iteration from@yperessthat supports a decoder, where the channel type is returned as each channel is iterated over. Though somewhat implicit in the current decoder API it was gamed out and thought of on some level. This ...
The core idea of the paper is: Using position map to represent face geometry&alignment information, then learning this with an Encoder-Decoder Network. So, the training steps: 1. generate position map ground truth. the example of generating position map of 300W_LP dataset can be seen in [ge...
These three settings were tested in GPT-3 :cite:p:`brown2020language`, whose largest version uses data and model size about two orders of magnitude larger than those in GPT-2. GPT-3 uses the same transformer decoder architecture in its direct predecessor GPT-2 except that attention patterns ...