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J-GLOBAL ID:202102283130270473   Reference number:21A0271798

Scale Adaptive Feature Pyramid Networks for 2D Object Detection

2Dオブジェクト検出のためのスケール適応特徴ピラミッドネットワーク【JST・京大機械翻訳】
Author (6):
Material:
Volume: 2020  Page: Null  Publication year: 2020 
JST Material Number: W0689A  ISSN: 1058-9244  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
Abstract/Point:
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Object detection is one of the...
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Graphic and image processing in general  ,  Pattern recognition 
Reference (18):
  • K. Simonyan, A. Zisserman, "Very deep convolutional networks for large-scale image recognition," Proceedings of the International Conference on Learning Representations (ICLR), New Orleans, LA, USA, April 2014.
  • R. Girshick, J. Donahue, T. Darrell, J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), pp. 580-587, Columbus, OH, USA, June 2014.
  • K. He, X. Zhang, X. Ren, J. Sun, "Spatial pyramid pooling in deep convolutional networks for visual recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 9, pp. 1904-1916, 2015.
  • R. Girshick, "Fast R-CNN," Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 1440-1448, Santiago, CL, USA, Dec 2015.
  • S. Ren, K. He, R. B. Girshick, J. Sun, "Faster R-CNN: towards real-time object detection with region proposal networks," Proceedings of the Advances in Neural Information Processing Systems (NIPS), pp. 91-99, Montreal, Canada, December 2015.
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