객체 탐지 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "객체 탐지" in Korean language version.

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arxiv.org

  • Girschick, Ross (2015). “Fast R-CNN” (PDF). 《Proceedings of the IEEE International Conference on Computer Vision》: 1440–1448. arXiv:1504.08083. 2019년 10월 31일에 원본 문서 (PDF)에서 보존된 문서. 2019년 11월 15일에 확인함. 
  • Shaoqing, Ren (2015). “Faster R-CNN” (PDF). 《Advances in Neural Information Processing Systems》. arXiv:1506.01497. 
  • Pang, Jiangmiao; Chen, Kai; Shi, Jianping; Feng, Huajun; Ouyang, Wanli; Lin, Dahua (2019년 4월 4일). “Libra R-CNN: Towards Balanced Learning for Object Detection”. arXiv:1904.02701v1 [cs.CV]. 
  • Liu, Wei (October 2016). 《SSD: Single shot multibox detector》. 《European Conference on Computer Vision》. Lecture Notes in Computer Science 9905. 21–37쪽. arXiv:1512.02325. doi:10.1007/978-3-319-46448-0_2. ISBN 978-3-319-46447-3. 
  • Redmon, Joseph (2016). “You only look once: Unified, real-time object detection”. 《Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition》. arXiv:1506.02640. 
  • Redmon, Joseph (2017). “YOLO9000: better, faster, stronger”. arXiv:1612.08242 [cs.CV]. 
  • Redmon, Joseph (2018). “Yolov3: An incremental improvement”. arXiv:1804.02767 [cs.CV]. 
  • Bochkovskiy, Alexey (2020). “Yolov4: Optimal Speed and Accuracy of Object Detection”. arXiv:2004.10934 [cs.CV]. 
  • Zhang, Shifeng (2018). 《Single-Shot Refinement Neural Network for Object Detection》. 《Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition》. 4203–4212쪽. arXiv:1711.06897. 
  • Lin, Tsung-Yi (2020). “Focal Loss for Dense Object Detection”. 《IEEE Transactions on Pattern Analysis and Machine Intelligence》 42 (2): 318–327. arXiv:1708.02002. Bibcode:2017arXiv170802002L. doi:10.1109/TPAMI.2018.2858826. PMID 30040631. S2CID 47252984. 
  • Zhu, Xizhou (2018). “Deformable ConvNets v2: More Deformable, Better Results”. arXiv:1811.11168 [cs.CV]. 
  • Dai, Jifeng (2017). “Deformable Convolutional Networks”. arXiv:1703.06211 [cs.CV]. 

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