SCOPUS 정보 검색 플랫폼

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

Volumn 2017-January, Issue , 2017, Pages 6517-6525

YOLO9000: Better, faster, stronger

(2) Redmon, Joseph a,c Farhadi, Ali a,b,c

a UNIVERSITY OF WASHINGTON (United States)

b Allen Institute for AI ^* (United States)

c XNORai (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; OBJECT RECOGNITION;

DETECTION METHODS; DETECTION TASKS; OBJECT CATEGORIES; OBJECT CLASS; OBJECT DETECTION SYSTEMS; STATE OF THE ART; STATE-OF-THE-ART METHODS; TRAINING METHODS;

OBJECT DETECTION;

EID: 85041900441 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/CVPR.2017.690 Document Type: Conference Paper

Times cited : (14547)

References (20)

1
- 84990056130
- arXiv preprint 6
- S. Bell, C. L. Zitnick, K. Bala, and R. Girshick. Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks. arXiv preprint arXiv:1512.04143, 2015. 6
- (2015) Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
- Bell, S.¹ Zitnick, C.L.² Bala, K.³ Girshick, R.⁴

2
- 85198028989
- Imagenet: A large-scale hierarchical image database
- IEEE, 1
- J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 248-255. IEEE, 2009. 1
- (2009) Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on , pp. 248-255
- Deng, J.¹ Dong, W.² Socher, R.³ Li, L.-J.⁴ Li, K.⁵ Fei-Fei, L.⁶

3
- 77951298115
- The pascal visual object classes (voc) challenge
- 1
- M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. International journal of computer vision, 88(2):303-338, 2010. 1
- (2010) International Journal of Computer Vision , vol.88 , Issue.2 , pp. 303-338
- Everingham, M.¹ Van Gool, L.² Williams, C.K.³ Winn, J.⁴ Zisserman, A.⁵

4
- 79960169435
- P. F. Felzenszwalb, R. B. Girshick, and D. McAllester. Discriminatively trained deformable part models, release 4. http://people.cs.uchicago.edu/ pff/latent-release4/. 8
- Discriminatively Trained Deformable Part Models, Release 4
- Felzenszwalb, P.F.¹ Girshick, R.B.² McAllester, D.³

5
- 84955316677
- abs/1504.08083, 5, 6
- R. B. Girshick. Fast R-CNN. CoRR, abs/1504.08083, 2015. 5, 6
- (2015) Fast R-CNN. CoRR
- Girshick, R.B.¹

6
- 84958589374
- arXiv preprint 2, 5, 6
- K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385, 2015. 2, 5, 6
- (2015) Deep Residual Learning for Image Recognition
- He, K.¹ Zhang, X.² Ren, S.³ Sun, J.⁴

7
- 84964923476
- arXiv preprint 2, 5
- S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167, 2015. 2, 5
- (2015) Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Ioffe, S.¹ Szegedy, C.²

8
- 84876231242
- Imagenet classification with deep convolutional neural networks
- 2
- A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012. 2
- (2012) Advances in Neural Information Processing Systems , pp. 1097-1105
- Krizhevsky, A.¹ Sutskever, I.² Hinton, G.E.³

9
- 84939241380
- arXiv preprint
- M. Lin, Q. Chen, and S. Yan. Network in network. arXiv preprint arXiv:1312.4400, 2013. 4
- (2013) Network in Network
- Lin, M.¹ Chen, Q.² Yan, S.³

10
- 84906493406
- Microsoft coco: Common objects in context
- Springer, 6
- T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft coco: Common objects in context. In European Conference on Computer Vision, pages 740-755. Springer, 2014. 1, 6
- (2014) European Conference on Computer Vision , vol.1 , pp. 740-755
- Lin, T.-Y.¹ Maire, M.² Belongie, S.³ Hays, J.⁴ Perona, P.⁵ Ramanan, D.⁶ Dollár, P.⁷ Zitnick, C.L.⁸

11
- 85007570504
- SSD: Single shot multibox detector
- abs/1512.02325, 5, 6
- W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. E. Reed. SSD: single shot multibox detector. CoRR, abs/1512.02325, 2015. 5, 6
- (2015) CoRR
- Liu, W.¹ Anguelov, D.² Erhan, D.³ Szegedy, C.⁴ Reed, S.E.⁵

12
- 34248833974
- Introduction to wordnet: An on-line lexical database
- 6
- G. A. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. J. Miller. Introduction to wordnet: An on-line lexical database. International journal of lexicography, 3(4):235-244, 1990. 6
- (1990) International Journal of Lexicography , vol.3 , Issue.4 , pp. 235-244
- Miller, G.A.¹ Beckwith, R.² Fellbaum, C.³ Gross, D.⁴ Miller, K.J.⁵

13
- 85010356430
- 2016
- J. Redmon. Darknet: Open source neural networks in c. http://pjreddie.com/darknet/, 2013-2016. 5
- (2013) Darknet: Open Source Neural Networks in C
- Redmon, J.¹

14
- 84961917629
- arXiv preprint 5, 6
- J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. arXiv preprint arXiv:1506.02640, 2015. 5, 6
- (2015) You Only Look Once: Unified, Real-Time Object Detection
- Redmon, J.¹ Divvala, S.² Girshick, R.³ Farhadi, A.⁴

15
- 84955283951
- arXiv preprint 2, 3, 5, 6
- S. Ren, K. He, R. Girshick, and J. Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. arXiv preprint arXiv:1506.01497, 2015. 2, 3, 5, 6
- (2015) Faster R-Cnn: Towards Real-Time Object Detection with Region Proposal Networks
- Ren, S.¹ He, K.² Girshick, R.³ Sun, J.⁴

16
- 84947041871
- ImageNet large scale visual recognition challenge
- O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (IJCV), 2015. 2
- (2015) International Journal of Computer Vision (IJCV)
- Russakovsky, O.¹ Deng, J.² Su, H.³ Krause, J.⁴ Satheesh, S.⁵ Ma, S.⁶ Huang, Z.⁷ Karpathy, A.⁸ Khosla, A.⁹ Bernstein, M.¹⁰ Berg, A.C.¹¹ Fei-Fei, L.¹²

17
- 84925410541
- arXiv preprint 2, 4
- K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014. 2, 4
- (2014) Very Deep Convolutional Networks for Large-Scale Image Recognition
- Simonyan, K.¹ Zisserman, A.²

18
- 84983383396
- Inception-v4, inception-resnet and the impact of residual connections on learning
- abs/1602.07261, 2
- C. Szegedy, S. Ioffe, and V. Vanhoucke. Inception-v4, inception-resnet and the impact of residual connections on learning. CoRR, abs/1602.07261, 2016. 2
- (2016) CoRR
- Szegedy, C.¹ Ioffe, S.² Vanhoucke, V.³

19
- 84941122549
- Going deeper with convolutions
- C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CoRR, abs/1409.4842, 2014. 4
- (2014) CoRR
- Szegedy, C.¹ Liu, W.² Jia, Y.³ Sermanet, P.⁴ Reed, S.⁵ Anguelov, D.⁶ Erhan, D.⁷ Vanhoucke, V.⁸ Rabinovich, A.⁹

20
- 84957922397
- Yfcc100m: The new data in multimedia research
- 1
- B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, D. Borth, and L.-J. Li. Yfcc100m: The new data in multimedia research. Communications of the ACM, 59(2):64-73, 2016. 1
- (2016) Communications of The ACM , vol.59 , Issue.2 , pp. 64-73
- Thomee, B.¹ Shamma, D.A.² Friedland, G.³ Elizalde, B.⁴ Ni, K.⁵ Poland, D.⁶ Borth, D.⁷ Li, L.-J.⁸

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.