Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385485618> ?p ?o ?g. }
- W4385485618 abstract "Current networks rely on custom operators to achieve high performance, but these new operators are difficult to obtain hardware acceleration quickly. Anchor-based object detection algorithms rely on a large number of anchors, and the post-processing of these anchors also limits the speed and performance of the detection task. In this work, we propose an efficient deployment-friendly detector, and name it as ECenterDet. Our proposed model uses an anchor-free paradigm and treats the detection problem as a key point estimation problem, the backbone comes equipped with a efficient cross stage partial network(ECSPNet), an adaptive feature pyramid (AFP) with both high speed and accuracy. We try to improve the training efficiency by using all pixel points in the whole Gaussian region as training samples, and further optimize the loss calculation in order to balance the number of objects of different sizes, which can significantly improve the performance of the model without bringing additional computation and parameters. In addition, we develop the s/m/l/x model for different application scenarios. The proposed ECenterDet shows very competitive performance compared with existing methods, and our ECenterDet-x achieves 51.6 mAP on the MS COCO dataset, outperforming YOLOv4-Tiny and YOLOv5s with faster inference speed." @default.
- W4385485618 created "2023-08-03" @default.
- W4385485618 creator A5040210900 @default.
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- W4385485618 date "2023-03-17" @default.
- W4385485618 modified "2023-09-28" @default.
- W4385485618 title "ECenterDet: An Efficient Anchor-free Detector" @default.
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- W4385485618 doi "https://doi.org/10.1145/3594315.3594407" @default.
- W4385485618 hasPublicationYear "2023" @default.
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