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In this paper, we propose a general approach to optimize anchor boxes for object detection.
The pascal visual object classes (voc) challenge
M. Everingham, L. V. Gool, C. K. I. Williams, J. M. Winn, and A. Zisserman · 2009
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Pedestrian detection: An evaluation of the state of the art
P. Dollár, C. Wojek, B. Schiele, and P. Perona · 2012
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. J. Belongie, L. D. Bourdev, R. B. Girshick, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Scalable, high-quality object detection
C. Szegedy, S. E. Reed, D. Erhan, and D. Anguelov · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. B. Girshick, and J. Sun · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. E. Reed, C.-Y. Fu, and A. C. Berg · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. K. Divvala, R. B. Girshick, and A. Farhadi · 2016
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End-to-end people detection in crowded scenes
M. A. Russell Stewart and A. Y. Ng · 2016
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Is faster r-cnn doing well for pedestrian detection?
L. Zhang, L. Lin, X. Liang, and K. He · 2016
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
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SSH: single stage headless face detector
M. Najibi, P. Samangouei, R. Chellappa, and L. S. Davis · 2017
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Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
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Cascade R-CNN: delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
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Cornernet: Detecting objects as paired keypoints
H. Law and J. Deng · 2018
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Textboxes++: A single-shot oriented scene text detector
M. Liao, B. Shi, and X. Bai · 2018
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. B. Girshick, K. He, and P. Dollár · 2018
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Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
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Metaanchor: Learning to detect objects with customized anchors
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Denet: Scalable real-time object detection with directed sparse sampling
L. Tychsen-Smith and L. Petersson · 2017
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http://mscoco.org/dataset/ #detections-leaderboard
Coco: Common objects in context · 2018
Cited alongside, same era.
T. Yang, X. Zhang, W. Zhang, and J. Sun · 2018
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Single-shot refinement neural network for object detection
S. Zhang, L. Wen, X. Bian, Z. Lei, and S. Z. Li · 2018
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Region proposal by guided anchoring
J. Wang, K. Chen, S. Yang, C. C. Loy, and D. Lin · 2019
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