This year I worked a lot with the new NLP revolutionary neural network named Transformer. I used it a lot in my job to build a Chatbot.
One day, I read a new paper from Facebook research called End-to-End Object Detection with Transformers (DERT).
I was very impressed about how powerful a Transformer layer can be. It is the first paper which shows a simple architecture to detect objects, which comes to compete with the other models much more complicated.
I made research on the Net for a TensorFlow implementation of the DERT model but I did not find anything. So, I decided to implement my own TensorFlow DERT architecture in my deep tools package.
Work steel in progress