Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes

Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes

Recent Transformer-based object detectors have achieved remarkable performance on benchmark datasets, but few have addressed the real-world challenge of object detection in crowded scenes using transformers. This limitation stems from the fixed query set size of the transformer decoder, which restri...

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Bibliographic Details
Main Authors: Hyeong Kyu Choi, Chong Keun Paik, Hyun Woo Ko, Min-Chul Park, Hyunwoo J. Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Computer vision
object detection
detection transformers
dynamic computation
Online Access:https://ieeexplore.ieee.org/document/10177153/

Internet

https://ieeexplore.ieee.org/document/10177153/

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