A Review of DEtection TRansformer: From Basic Architecture to Advanced Developments and Visual Perception Applications

A Review of DEtection TRansformer: From Basic Architecture to Advanced Developments and Visual Perception Applications

DEtection TRansformer (DETR) introduced an end-to-end object detection paradigm using Transformers, eliminating hand-crafted components like anchor boxes and Non-Maximum Suppression (NMS) via set prediction and bipartite matching. Despite its potential, the original DETR suffered from slow convergen...

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Bibliographic Details
Main Authors: Liang Yu, Lin Tang, Lisha Mu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
object detection
DETR
transformer
attention
end to end
deep learning
Online Access:https://www.mdpi.com/1424-8220/25/13/3952
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