From 93b3392d9346226c328ea2a878ff968d0303f826 Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Wed, 31 Oct 2018 02:14:14 +0100 Subject: data --- .../entries/The Do's and Don'ts for CNN-based Face Verification.csv | 1 + 1 file changed, 1 insertion(+) create mode 100644 datasets/scholar/entries/The Do's and Don'ts for CNN-based Face Verification.csv (limited to 'datasets/scholar/entries/The Do's and Don'ts for CNN-based Face Verification.csv') diff --git a/datasets/scholar/entries/The Do's and Don'ts for CNN-based Face Verification.csv b/datasets/scholar/entries/The Do's and Don'ts for CNN-based Face Verification.csv new file mode 100644 index 00000000..d494c943 --- /dev/null +++ b/datasets/scholar/entries/The Do's and Don'ts for CNN-based Face Verification.csv @@ -0,0 +1 @@ +The Do's and Don'ts for CNN-based Face Verification.|http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Bansal_The_Dos_and_ICCV_2017_paper.pdf|2017|21|7|16583671830808674747|http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Bansal_The_Dos_and_ICCV_2017_paper.pdf|http://scholar.google.com/scholar?cites=16583671830808674747&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=16583671830808674747&hl=en&as_sdt=0,5|None|While the research community appears to have developed a consensus on the methods of acquiring annotated data, design and training of CNNs, many questions still remain to be answered. In this paper, we explore the following questions that are critical to face recognition research:(i) Can we train on still images and expect the systems to work on videos?(ii) Are deeper datasets better than wider datasets?(iii) Does adding label noise lead to improvement in performance of deep networks?(iv) Is alignment needed for face … -- cgit v1.2.3-70-g09d2