End-to-End Trainable Multi-Instance Pose Estimation with Transformers

Lucas Stoffl, Maxime Vidal, Alexander Mathis

We propose an end-to-end trainable approach for multi-instance pose estimation, called POET (POse Estimation Transformer). Combining a convolutional neural network with a transform…