暂无分享,去创建一个
[1] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[2] Yang Song,et al. Class-Balanced Loss Based on Effective Number of Samples , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Lisha Cui,et al. MDSSD: multi-scale deconvolutional single shot detector for small objects , 2018, Science China Information Sciences.
[5] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[6] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[9] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Martial Hebert,et al. Learning to Model the Tail , 2017, NIPS.
[11] Jitendra Malik,et al. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Xiongwei Wu,et al. Recent Advances in Deep Learning for Object Detection , 2019, Neurocomputing.
[13] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[14] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[15] Wei Liu,et al. DSSD : Deconvolutional Single Shot Detector , 2017, ArXiv.
[16] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] Geoffrey E. Hinton,et al. When Does Label Smoothing Help? , 2019, NeurIPS.
[18] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[19] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[20] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Atsuto Maki,et al. A systematic study of the class imbalance problem in convolutional neural networks , 2017, Neural Networks.
[22] Chen Huang,et al. Learning Deep Representation for Imbalanced Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).