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...

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Vydané v:	arXiv.org
Hlavní autori:	Dai, Zhigang, Cai, Bolun, Lin, Yugeng, Chen, Junying
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 24.07.2023
Predmet:	Coders Encoders-Decoders Learning Natural language processing Object recognition Patches (structures) Queries Training Transformers
ISSN:	2331-8422
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