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Align-DETR: Enhanced Object Detection by harrymagic098 is a document available to read on EtoBox.

What is Align-DETR: Enhanced Object Detection about?

The paper presents Align-DETR, an enhancement of the DETR model for object detection, addressing misalignment issues between classification and regression tasks through a novel loss function called Align Loss. This method improves convergence and overall performance, achieving state-of-the-art results with 50.5% AP in the 1× setting and 51.7% AP in the 2× setting on the COCO validation set. The approach utilizes many-to-one matching and a dynamic training target to effectively align the optimization process

Author

harrymagic098

Language

EN