Visual detection of screen defects in occlusion and missing scenes
Author:
Publisher
China Science Publishing & Media Ltd.
Subject
Engineering (miscellaneous),Computer Science (miscellaneous)
Link
https://engine.scichina.com/doi/pdf/64E4FE026CD74D8496B258C729A3A913
Reference24 articles.
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3. LIU Ze, HU Han, LIN Yutong, et al. Swin transformer V2: scaling up capacity and resolution [C]// IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, USA: IEEE, 2022: 11999-12009..
4. GHIASI G, LIN T Y, LE Q V. NAS-FPN: learning scalable feature pyramid architecture for object detection [C]// IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, USA: IEEE, 2019: 7029-7038..
5. HAJIZADEH M, SABOKROU M, RAHMANI A. MobileDenseNet: a new approach to object detection on mobile devices [J]. Expert Systems with Applications, 2023, 215: 119348..
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