Coursera
Introduction to Machine Learning in Production

Video Description
In this video, we take a look at Detection Transformers (DETR). What is it? Why do we have it? How do we train it? How does it compare to Faster R-CNN?
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[1 📚] Main Paper: https://arxiv.org/pdf/2005.12872
[2 📚] Slides: https://link.excalidraw.com/p/readonly/1OzfsMt78e1BuqDMBYJO
[3 📚] My video on resnet: https://youtu.be/gyhCfjixLV0?si=N-NTU4Y4228KOUSt
[4 📚] Video on the transformer architecture: https://youtu.be/TQQlZhbC5ps?si=rACu5O4FGRKQwaKl
[5 📚] Playlist of Transformers from scratch: https://youtu.be/QCJQG4DuHT0?si=UllVN6odQKC-nsvb
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CHAPTERS
00:00 What is object detection?
00:26 Issues with Faster R-CNN
02:22 Introducing DETR
03:08 How to train DETR
12:19 Inference
14:35 Performance compared to Faster R-CNN
15:45 Quiz Time
16:48 Summary