End-to-End object detection with transformers

Today’s paper: End-to-End object detection with transformers by Carion et al. This is the second paper of the new series Deep Learning Papers visualized and it’s about using a transformer approach (the current state of the art in the domain of speech) to the domain of vision. More specifically, the paper is concerned with object detection and here is the link to the paper of Carion et al. on arxiv.
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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

New blog series: Deep Learning Papers visualized This is the first post of a new series I am starting where I explain the content of a paper in a visual picture-based way. To me, this helps tremendously to better grasp the ideas and remember them and I hope this will be the same for many of you as well. Today’s paper: Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour by Goyal et al.
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