暂无分享,去创建一个
Yu Zhang | Gongbo Liang | Yuanyuan Su | Sheng-Chieh Lin | Yuanyuan Zhang | Nathan Jacobs | Nathan Jacobs | Yuanyuan Su | G. Liang | Yu Zhang | Sheng-Chieh Lin | Yuanyuan Zhang
[1] M. Jarvis,et al. An Application of Multi-band Forced Photometry to One Square Degree of SERVS: Accurate Photometric Redshifts and Implications for Future Science , 2017, 1704.01582.
[2] Nathan Jacobs,et al. Automatic Hand Skeletal Shape Estimation from Radiographs , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[3] Yu Zhang,et al. Multi-Branch Attention Networks for Classifying Galaxy Clusters , 2021, 2020 25th International Conference on Pattern Recognition (ICPR).
[4] A. Finoguenov,et al. redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG , 2013, 1303.3562.
[5] D. Lambas,et al. Brightest group galaxies and the large-scale environment , 2015, 1502.01221.
[6] Scott Workman,et al. Learning a Dynamic Map of Visual Appearance , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[8] J. Mohr,et al. Constraints on Cosmological Parameters from Future Galaxy Cluster Surveys , 2000, astro-ph/0002336.
[9] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[10] Yu Zhang,et al. Defense-PointNet: Protecting PointNet Against Adversarial Attacks , 2019, 2019 IEEE International Conference on Big Data (Big Data).
[11] Chris Bebek,et al. The Dark Energy Spectroscopic Instrument (DESI) , 2019, 1907.10688.
[12] Aniruddha R. Thakar,et al. Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe , 2017, 1703.00052.
[13] Hunter Blanton,et al. Inconsistent Performance of Deep Learning Models on Mammogram Classification. , 2020, Journal of the American College of Radiology : JACR.
[14] Hilo,et al. THE ELEVENTH AND TWELFTH DATA RELEASES OF THE SLOAN DIGITAL SKY SURVEY: FINAL DATA FROM SDSS-III , 2015, 1501.00963.
[15] F. Marinacci,et al. A Deep Learning Approach to Galaxy Cluster X-Ray Masses , 2018, The Astrophysical Journal.
[16] Xiaoqin Wang,et al. Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification , 2020, ArXiv.
[17] Y Zhang,et al. A deep learning view of the census of galaxy clusters in IllustrisTNG , 2020, Monthly Notices of the Royal Astronomical Society.
[18] Yaohang Li,et al. Clinical big data and deep learning: Applications, challenges, and future outlooks , 2019, Big Data Min. Anal..
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.