Fast_Dense_Feature_Extraction
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A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"
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the SlimNet has a 3-dimensions output with shape (-1, imH, imW) now. but if we have a batch of images for input, should the net have output with 4-dimensions ?...
How could it be used? Thanks