UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture. However, trained with scratch transformers, DETR needs large-scale training data and an extreme long training schedule even on COCO dataset. In...

Full description

Bibliographic Details

Published in:	arXiv.org
Main Authors:	Dai, Zhigang, Cai, Bolun, Lin, Yugeng, Chen, Junying
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 24.07.2023
Subjects:	Coders Encoders-Decoders Learning Natural language processing Object recognition Patches (structures) Queries Training Transformers
ISSN:	2331-8422
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!