YOLO9000: Better, Faster, Stronger - Google Scholar Metrics

Articles citing YOLO9000: Better, Faster, Stronger

Title / Author	Year
Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Proceedings of the IEEE international conference on computer vision, 2980-2988	2017
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767	2018
Mobilenetv2: Inverted residuals and linear bottlenecks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Proceedings of the IEEE conference on computer vision and pattern …	2018
Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …	2017
Voxelnet: End-to-end learning for point cloud based 3d object detection Y Zhou, O Tuzel Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields Z Cao, G Hidalgo, T Simon, SE Wei, Y Sheikh arXiv preprint arXiv:1812.08008	2018
Threat of adversarial attacks on deep learning in computer vision: A survey N Akhtar, A Mian IEEE Access 6, 14410-14430	2018
Mnasnet: Platform-aware neural architecture search for mobile M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le Proceedings of the IEEE Conference on Computer Vision and Pattern …	2019
High performance visual tracking with siamese region proposal network B Li, J Yan, W Wu, Z Zhu, X Hu Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Object detection with deep learning: A review ZQ Zhao, P Zheng, S Xu, X Wu IEEE transactions on neural networks and learning systems 30 (11), 3212-3232	2019
Adversarial examples: Attacks and defenses for deep learning X Yuan, P He, Q Zhu, X Li IEEE transactions on neural networks and learning systems 30 (9), 2805-2824	2019
Single-shot refinement neural network for object detection S Zhang, L Wen, X Bian, Z Lei, SZ Li Proceedings of the IEEE conference on computer vision and pattern …	2018
Icnet for real-time semantic segmentation on high-resolution images H Zhao, X Qi, X Shen, J Shi, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 405-420	2018
Joint 3d proposal generation and object detection from view aggregation J Ku, M Mozifian, J Lee, A Harakeh, SL Waslander 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …	2018
Dsod: Learning deeply supervised object detectors from scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue Proceedings of the IEEE international conference on computer vision, 1919-1927	2017
Advanced deep-learning techniques for salient and category-specific object detection: a survey J Han, D Zhang, G Cheng, N Liu, D Xu IEEE Signal Processing Magazine 35 (1), 84-100	2018
DOTA: A large-scale dataset for object detection in aerial images GS Xia, X Bai, J Ding, Z Zhu, S Belongie, J Luo, M Datcu, M Pelillo, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International journal of computer vision 128 (2), 261-318	2020
Deep learning: a primer for radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... Radiographics 37 (7), 2113-2131	2017
Real-time seamless single shot 6d object pose prediction B Tekin, SN Sinha, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018

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