Deeplabv3plus Keras Save

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Project README

Deeplab v3+ in keras

DeepLab is a state-of-art deep learning model for semantic image segmentation. For tensorflow implemention, please refer to [tensorflow/models/research]: https://github.com/tensorflow/models/tree/master/research/deeplab

The Features of DeepLab v3+

  • Encoder-Decoder Structures
  • Atrous Convolutions in ASPP structure
  • Separable Convolutions instead of traditional Convolutions
  • Bilinear Interpolation instead of Transpose Convolutions

The Brief Structure

Encoder

  1. Xception as the Feature Extractor
  2. ASPP
  3. Separable Convolutions

Decoder

  1. Upsampling
  2. Separable Convolutions
Open Source Agenda is not affiliated with "Deeplabv3plus Keras" Project. README Source: mjDelta/deeplabv3plus-keras
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