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Hierarchical shot detector
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Cao, Jiale, Pang, Yanwei, Han, Jungong and Li, Xuelong (2020) Hierarchical shot detector. In: ICCV 2019. International conference on computer vision, Seoul, Korea, 27 Oct - 2 Nov 2019. Published in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV) doi:10.1109/ICCV.2019.00980
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Official URL: https://doi.org/10.1109/ICCV.2019.00980
Abstract
Single shot detector simultaneously predicts object categories and regression offsets of the default boxes. Despite of high efficiency, this structure has some inappropriate designs: (1) The classification result of the default box is improperly assigned to that of the regressed box during inference, (2) Only regression once is not good enough for accurate object detection. To solve the first problem, a novel reg-offset-cls (ROC) module is proposed. It contains three hierarchical steps: box regression, the feature sampling location predication, and the regressed box classification with the features of offset locations. To further solve the second problem, a hierarchical shot detector (HSD) is proposed, which stacks two ROC modules and one feature enhanced module. The second ROC treats the regressed boxes and the feature sampling locations of features in the first ROC as the inputs. Meanwhile, the feature enhanced module injected between two ROCs aims to extract the local and non-local context. Experiments on the MS COCO and PASCAL VOC datasets demonstrate the superiority of proposed HSD. Without the bells or whistles, HSD outperforms all one-stage methods at real-time speed.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Journal or Publication Title: | 2019 IEEE/CVF International Conference on Computer Vision (ICCV) | ||||||
Publisher: | IEEE | ||||||
Official Date: | 27 February 2020 | ||||||
Dates: |
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DOI: | 10.1109/ICCV.2019.00980 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 17 September 2019 | ||||||
Date of first compliant Open Access: | 28 April 2020 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | ICCV 2019. International conference on computer vision | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Seoul, Korea | ||||||
Date(s) of Event: | 27 Oct - 2 Nov 2019 | ||||||
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