Usage:
model = torchvision.models.detection.fasterrcnn_mobilenet_v3_large_fpn(pretrained=True)
# model = torchvision.models.detection.fasterrcnn_mobilenet_v3_large_320_fpn(pretrained=True)
model.eval()
predictions = model(img)

Semantic Segmentation

DeepLabV3 with Dilated MobileNetV3 Large Backbone: A dilated version of the MobileNetV3 Large backbone combined with DeepLabV3 helps us build a highly accurate and fast semantic segmentation model. The pre-trained weights are fitted on COCO 2017 using our standard training recipes. The final model has the same accuracy as the FCN ResNet50 but it is 8.5x faster on CPU and thus making it an excellent replacement for the majority of applications.
