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

Explore an in-depth explanation of DETR (DEtection TRansformer), an end-to-end object detection pipeline utilizing transformers. Dive into the two main ideas: using transformers instead of specialized vision architectures and employing Hungarian matching and loss for end-to-end training. Learn about non-max suppression, high-level pipeline overview, detailed architecture, matching loss, Hungarian loss, results, visualizations, and ablations. Gain insights into the application of DETR for segmentation tasks and understand how this approach revolutionizes object detection in computer vision.

Intro: DETR main ideas
Non-max suppression
High-level pipeline overview
Architecture in more detail
Matching loss
Hungarian loss
Results
Visualization
Ablations
Outro: Segmentation results