MartialTerran commited on
Commit
298079c
·
verified ·
1 Parent(s): b77604b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -3
README.md CHANGED
@@ -7,11 +7,12 @@ Related but not optimal:
7
  https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition
8
  "This paper introduces a new Large-Scale Korean Influencer Dataset named KoIn. Our presented dataset contains many real-world photos of Korean celebrities in various environments that might contain stage lighting, backup dancers, and background objects. These various images can be useful for training classification models classifying K-influencers.
9
 
10
- https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition
11
- "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset"
12
- May 2017
13
  "Figure 5 presents the process of eye detection and segmentation and eye detection. The proposed dataset for eye detection includes eye images from face images of the WIDER FACE dataset [42] and the Wild East Asian Face Dataset (WEAFD) [43]. WEAFD images were collected and labeled into seven ethnic categories to explore the ethnic classification of East Asians. ...""
14
 
 
15
 
16
  ---
17
  license: apache-2.0
 
7
  https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition
8
  "This paper introduces a new Large-Scale Korean Influencer Dataset named KoIn. Our presented dataset contains many real-world photos of Korean celebrities in various environments that might contain stage lighting, backup dancers, and background objects. These various images can be useful for training classification models classifying K-influencers.
9
 
10
+ https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition
11
+ "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset" May 2017
12
+
13
  "Figure 5 presents the process of eye detection and segmentation and eye detection. The proposed dataset for eye detection includes eye images from face images of the WIDER FACE dataset [42] and the Wild East Asian Face Dataset (WEAFD) [43]. WEAFD images were collected and labeled into seven ethnic categories to explore the ethnic classification of East Asians. ...""
14
 
15
+ "The ethnicity in this paper is considered as a three class classification problem (Asian, Black and White) and the approach is tested on ten different datasets and average classification accuracy over all datasets is 98.28%, 99.66% and 99.05% for Asian, African-American and Caucasian, respectively. The next research analysed was [17]. The authors explored the fine-grained ethnicity classification on East Asian population. ...""
16
 
17
  ---
18
  license: apache-2.0