id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
0,,MegaAge,megaage,0.0,0.0,,,,main,,Quantifying Facial Age by Posterior of Age Comparisons,2017
1,China,MegaAge,megaage,39.98177,116.330086,National Laboratory of Pattern Recognition,edu,f3ec43a7b22f6e5414fec473acda8ffd843e7baf,citation,https://arxiv.org/pdf/1809.07447.pdf,A Coupled Evolutionary Network for Age Estimation,2018
2,China,MegaAge,megaage,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,f3ec43a7b22f6e5414fec473acda8ffd843e7baf,citation,https://arxiv.org/pdf/1809.07447.pdf,A Coupled Evolutionary Network for Age Estimation,2018
3,China,MegaAge,megaage,22.4162632,114.2109318,Chinese University of Hong Kong,edu,aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd,citation,https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf,1 How Good can Human Predict Facial Age ?,2017
4,China,MegaAge,megaage,39.993008,116.329882,SenseTime,company,aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd,citation,https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf,1 How Good can Human Predict Facial Age ?,2017
5,Taiwan,MegaAge,megaage,25.0421852,121.6145477,"Academia Sinica, Taiwan",edu,c62c07de196e95eaaf614fb150a4fa4ce49588b4,citation,https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf,SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation,2018
6,Taiwan,MegaAge,megaage,25.01682835,121.53846924,National Taiwan University,edu,c62c07de196e95eaaf614fb150a4fa4ce49588b4,citation,https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf,SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation,2018