Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective

With the transformative impact of the Transformer, DETR pioneered the application of the encoder-decoder ar-chitecture to object detection. A collection of follow-up research, e.g., Deformable DETR, aims to enhance DETR while adhering to the encoder-decoder design. In this work, we revisit the DETR...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 17416 - 17426
Main Authors:	Zhao, Jinjing, Wei, Fangyun, Xu, Chang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.06.2024
Subjects:	Benchmark testing Categorization Detection Detectors Object detection Retrieval Schedules Training Transformers Transforms
ISSN:	1063-6919
Online Access:	Get full text
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