论文信息 - The Application of Improved YOLO V3 in Multi-Scale Target Detection - 字舞流文

The Application of Improved YOLO V3 in Multi-Scale Target Detection

Luo | Chang | Hui | Hui | Wang | Ju | Bin Hui | Zheng Chang | Haibo Luo | Luo | Moran Ju | Wang | Zhongbo Wang | Chang

[1] Frédéric Jurie,et al. Vehicle detection in aerial imagery : A small target detection benchmark , 2016, J. Vis. Commun. Image Represent..

[2] Curt H. Davis,et al. Vehicle detection from high-resolution satellite imagery using morphological shared-weight neural networks , 2007, Image Vis. Comput..

[3] Mohammad Saraee,et al. A novel framework for intelligent surveillance system based on abnormal human activity detection in academic environments , 2016, Neural Computing and Applications.

[4] Gellért Máttyus,et al. Fast Multiclass Vehicle Detection on Aerial Images , 2015, IEEE Geoscience and Remote Sensing Letters.

[5] Cüneyt Güzelis,et al. Object recognition and detection with deep learning for autonomous driving applications , 2017, Simul..

[6] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.

[7] 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.

[8] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[9] 刘云鹏 Liu Yunpeng,et al. A lightweight small object detection algorithm based on improved SSD , 2018 .

[10] Juan Li,et al. Real-World Railway Traffic Detection Based on Faster Better Network , 2018, IEEE Access.