Deep learning approaches to landmark detection in tsetse wing images
Fig 3
ResNet50 is modified by removing the final 2 layers and replacing them with a randomly initialised convolutional layer, followed by a fully connected layer of size 22, representing the output.
The output corresponds to an x and y coordinate for each of the 11 landmarks.