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An autoencoder is an Artificial Neural Network used to compress and decompress the input data in an unsupervised manner. Compression and decompression operation is data specific and lossy. The ...

The AutoEncoder is implemented by reverse the forward EfficientNet as a decoder, current implementation only uses Dynamic Padding for TransposedConv2d which works fine for me now.

With the rapid development of mobile internet and location awareness techniques, massive spatio-temporal data is collected every day. Trajectory classification is critically important to many ...