Lune

CVPR2025Top-tier venue

DEIM: DETR with Improved Matching for Fast Convergence

Shihua Huang, Zhichao Lu, Xiaodong Cun, Yongjun Yu, Xiao Zhou, Xi Shen

2025Year
14Top-tier citations

Abstract

Ours D-FINE YOLOv11 YOLOv10 RT-DETRv3 RT-DETRv2 RT-DETR (b) Better: exceeding all real-time detectors Figure 1. Comparison with state-of-the-art real-time object detectors on COCO [20]. The proposed DEIM achieves faster convergence (a) and superior performance in terms of average precision (AP) and latency (b) when compared to state-of-the-art real-time object detectors.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers14

Ask how each one uses it

Builds on19

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines