diff options
Diffstat (limited to 'datasets/scholar/entries/The MegaFace Benchmark: 1 Million Faces for Recognition at Scale.csv')
| -rw-r--r-- | datasets/scholar/entries/The MegaFace Benchmark: 1 Million Faces for Recognition at Scale.csv | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/datasets/scholar/entries/The MegaFace Benchmark: 1 Million Faces for Recognition at Scale.csv b/datasets/scholar/entries/The MegaFace Benchmark: 1 Million Faces for Recognition at Scale.csv new file mode 100644 index 00000000..68dc8389 --- /dev/null +++ b/datasets/scholar/entries/The MegaFace Benchmark: 1 Million Faces for Recognition at Scale.csv @@ -0,0 +1 @@ +The megaface benchmark: 1 million faces for recognition at scale|http://scholar.google.com/https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Kemelmacher-Shlizerman_The_MegaFace_Benchmark_CVPR_2016_paper.html|2016|159|11|6051410257476935491|None|http://scholar.google.com/scholar?cites=6051410257476935491&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=6051410257476935491&hl=en&as_sdt=0,5|None|Recent face recognition experiments on a major benchmark LFW show stunning performance--a number of algorithms achieve near to perfect score, surpassing human recognition rates. In this paper, we advocate evaluations at the million scale (LFW includes only 13K photos of 5K people). To this end, we have assembled the MegaFace dataset and created the first MegaFace challenge. Our dataset includes One Million photos that capture more than 690K different individuals. The challenge evaluates performance of algorithms … |