More semantic segmentation models support

[ibelem]

• List models
• Justification (in internal)

[BruceDai]

• FCN8 (OpenVino)

1. Paper: Fully Convolutional Networks for Semantic Segmentation
2. Could convert from fcn8s-heavy-pascal.caffemodel by OpenVino Model Optimizer, converted OpenVino model file size: 537.9MB
3. This model is used by Image Segmentation C++ Demo of OpenVino ToolKit
4. Need implement Deconvolution, Crop ops to support this model

To implement Deconvolution and Crop ops by WebGL of tensorflow, Deconvolution could map to tf.layers.TRANSPOSE_CONV_2D, and Crop map to tf.layers.CROPPING2D.

• ~~DUC (ONNX)~~

1. ~~Paper: Understanding Convolution for Semantic Segmentation~~
2. ~~Model file: ResNet101_DUC_HDC size: 260.7MB~~
3. ~~mIOU: 81.92%~~
4. ~~OnnxModelImporter could handle the ops of this model, while there's some problem on investigating and fixing.~~

DUC is based on cityscapes, it isn't OK for Video conference Scene, skip this model.

• Mask R-CNN This model was mentioned on 2.1.2. Semantic Segmentation Use Case of WebML CG It's for object instance segmentation that detects 80 different classes. Paper: Mask R-CNN

[BruceDai]

• Mask R-CNN2GO Reference Enabling full body AR with Mask R-CNN2Go