Learning Data Augmentation Strategies for Object Detection

26 June 2019

Papers citing "Learning Data Augmentation Strategies for Object Detection"

9 / 159 papers shown

Title
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019 Xingyuan Bu Junran Peng Changbao Wang Cunjun Yu Guoliang Cao ObjD 12 2 0 26 Oct 2019
Team PFDet's Methods for Open Images Challenge 2019 Yusuke Niitani Toru Ogawa Shuji Suzuki Takuya Akiba Tommi Kerola Kohei Ozaki Shotaro Sano 15 3 0 25 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 69 3,411 0 30 Sep 2019
Optimal translational-rotational invariant dictionaries for images Davide Barbieri C. Cabrelli E. Hernández U. Molter 6 4 0 04 Sep 2019
Recent Advances in Deep Learning for Object Detection Xiongwei Wu Doyen Sahoo S. Hoi VLM ObjD 32 798 0 10 Aug 2019
A Survey of Deep Learning-based Object Detection L. Jiao Fan Zhang Fang Liu Shuyuan Yang Lingling Li Zhixi Feng Rong Qu ObjD 31 960 0 11 Jul 2019
Learning Symmetry Consistent Deep CNNs for Face Completion Xiaoming Li Ming-Yu Liu Jieru Zhu W. Zuo Hao Wu Guosheng Hu Lei Zhang CVBM 17 25 0 19 Dec 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 176 0 04 Nov 2016