Blood vessels segmentation of hatching eggs based on fully convolutional networks
暂无分享,去创建一个
Ling Qiu | Zhitao Xiao | Lei Geng | Jun Wu
[1] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[2] José García Rodríguez,et al. A Review on Deep Learning Techniques Applied to Semantic Segmentation , 2017, ArXiv.
[3] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Yi Li,et al. Fully Convolutional Instance-Aware Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Jitendra Malik,et al. Simultaneous Detection and Segmentation , 2014, ECCV.
[7] Soumith Chintala,et al. A MultiPath Network for Object Detection , 2016, BMVC.
[8] Michael Ngadi,et al. Detecting Fertility and Early Embryo Development of Chicken Eggs Using Near-Infrared Hyperspectral Imaging , 2013, Food and Bioprocess Technology.
[9] 한보형,et al. Learning Deconvolution Network for Semantic Segmentation , 2015 .
[10] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Baoming Shan. Fertility Detection of Middle-stage Hatching Egg in Vaccine Production Using Machine Vision , 2010, 2010 Second International Workshop on Education Technology and Computer Science.
[12] Feng-Ying Cui,et al. Non-destructive detection on the fertility of injected SPF eggs in vaccine manufacture , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).
[13] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.