References

End-to-End Object Detection with Transformers

Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, & Sergey Zagoruyko (2020)

Lecture Notes in Computer Science, 213-229.

DOI: https://doi.org/10.1007/978-3-030-58452-8_13

Abstract. Introduces DETR, which reframes object detection as a set prediction problem using a transformer encoder-decoder and bipartite matching loss, eliminating hand-crafted components such as anchors and non-maximum suppression.

Tags: object-detection transformers detr

This site is currently in Beta. Contact: Chris Paton

Textbook of Usability · Textbook of Digital Health

Auckland Maths and Science Tutoring

AI tools used: Claude (research, coding, text), ChatGPT (diagrams, images), Grammarly (editing).