
Lite R-ASPP with Dilated MobileNetV3 Large Backbone: We introduce the implementation of a new segmentation head called Lite R-ASPP and combine it with the dilated MobileNetV3 Large backbone to build a very fast segmentation model. The new model sacrifices some accuracy to achieve a 15x speed improvement comparing to the previously most lightweight segmentation model which was the FCN ResNet50.

Usage:
model = torchvision.models.segmentation.deeplabv3_mobilenet_v3_large(pretrained=True)
# model = torchvision.models.segmentation.lraspp_mobilenet_v3_large(pretrained=True)
model.eval()
predictions = model(img)

In the near future we plan to publish an article that covers the details of how the above models were trained and discuss their tradeoffs and design choices. Until then we encourage you to try out the new models and provide your feedback.