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韓國軍事科學技術學會誌 = Journal of the KIMST, v.25 no.4, 2022년, pp.381 - 389
조선영 (국방과학연구소 국방인공지능기술센터)
AI-Helper
Detecting partially occluded objects is difficult due to the appearances and shapes of occluders are highly variable. These variabilities lead to challenges of localizing accurate bounding box or classifying objects with visible object parts. To address these problems, we propose a two-stage part-ba...
H. Zhu, P. Tang, J. Park, S. Park, A. Yuille, "Robustness of Object Recognition Under Extreme Occlusion in Humans and Computational Models," CoRR, Vol. abs/1905.04598, 2019.
A. Fawzi, P. Frossard, "Measuring the Effect of Nuisance Variables on Classifiers," BMVC, 2016.
T. DeVries, G. W. Taylor, "Improved Regularization of Convolutional Neural Networks with Cutout," arXiv preprint arXiv:1708.04552, 2017.
S. Yun, D. Han, S. J. Oh, S. Chun, Y. Yoo, "Cutmix: Regularization Strategy to Train Strong Classifiers with Localizable Features," ICCV, pp. 6023-6032, 2019.
C. Zhou, J. Yuan, "Multi-Label Learning of Part Detectors for Heavily Occluded Pedestrian Detection," ICCV, pp. 3486-3495, 2017.
C. Zhou, J. Yuan, "Non-Rectangular Part Discovery for Object Detection," BMCV, 2014.
Y. Tian, P. Luo, X. Wang, X. Tang, "Deep Learning Strong Parts for Pedestrian Detection," ICCV, pp. 1904-1912, 2015.
C. Zhou, J. Yuan, "Occlusion Pattern Discovery for Object Detection and Occlusion Reasoning," TCSVT, Vol. 30, No. 7, pp. 2067-2080, 2020.
C. Zhou, J. Yuan, "Bi-Box Regression for Pedestrian Detection and Occlusion Estimation," ECCV, pp. 135-151, 2018.
S. Yan, Q. Liu, "Inferring Occluded Features for Fast Object Detection," Signal Processing, Vol. 110, pp. 188-198, 2015.
X. Wang, T. X. Han, S. Yan, "An HOG-LBP Human Detector with Partial Occlusion Handling," ICCV, pp. 32-39, 2009.
S. Zhang, L. Wen, X. Bian, Z. Lei, S. Z. Li, "Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd," ECCV, pp. 657-674, 2018.
J. Wang, L. Xie, A.L. Yuille, Z. Zhang, C. Xie, "Deepvoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion," CVPR, pp. 1372-1380, 2018.
C. Chi, S. Zhang, J. Xing, Z. Lei, S. Z. Li, X. Zou, "PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes," AAAI, pp. 10639-10646, 2020.
V. Mnih, N. Heess, A. Graves, K. Kavukcuoglu, "Recurrent Models of Visual Attention," NIPS, pp. 2204-2212, 2014.
Y. Pang, J. Xie, M. H. Khan, R. M. Anwer, F. S. Khan, L. Shao, "Mask-Guided Attention Network for Occluded Pedestrian Detection," ICCV, pp. 4967-4975, 2018.
S. Ren, K. He, R. Girshick, J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," NIPS, pp. 91-99, 2015.
K. He, X. Zhang, S. Ren, J. Sun, "Deep Residual Learning for Image Recognition," CVPR, pp. 770-778, 2016.
P. F. Felzenszwalb, R. B. Girshick, D. A. McAllester, D. Ramanan, "Object Detection with Discriminatively Trained Part-based Models," TPAMI, Vol. 32, No. 9, pp. 1627-1645, 2010.
R. Girshick, "Fast R-CNN," ICCV, pp. 1440-1448, 2015.
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, A. Vedaldi, "Describing Textures in the Wild," CVPR, pp. 3606-3613, 2016.
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