DETR: End-to-End Object Detection with Transformers | Paper Explained

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In this video I cover DETR, an end-to-end object detection pipeline with transformers.

The main 2 ideas are:
* Using transformers instead of specialized vision architectures
* Using Hungarian matching and loss to train the system e2e

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✅ Paper: https://arxiv.org/abs/2005.12872
✅ Code: https://github.com/facebookresearch/detr
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⌚️ Timetable:

00:00 Intro: DETR main ideas
00:45 Non-max suppression
03:20 High-level pipeline overview
07:50 Architecture in more detail
12:10 Matching loss
18:35 Hungarian loss
21:00 Results
24:05 Visualization
27:35 Ablations
30:00 Outro: Segmentation results

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#detr #objectdetection #transformers