"In order to analyse SegNet and compare its performance with FCN
(decoder variants) we use a smaller version of SegNet, termed
SegNet-Basic , which ha 4 encoders and 4 decoders. All the
encoders in SegNet-Basic perform max-pooling and subsampling and the
corresponding decoders upsample its input using the received
max-pooling indices."
Basically it's a mini-segnet to experiment / test the architecure with convnets, such as FCN.
Steps To Run The Model:
Run python model-basic.py to create segNet_basic_model for keras to use.