iCartoonFace: A Benchmark of Cartoon Person Recognition

07/31/2019
by   Yi Zheng, et al.
2

Cartoons receive increasingly attention and have a huge global market. Cartoon person recognition has a wealth of application scenarios. However, there is no large and high quality dataset for cartoon person recognition. It limit the development of recognition algorithms. In this paper, we propose the first large unconstrained cartoon database called iCartoonFace. We have released the dataset publicly available to promote cartoon person recognition research[The dataset can be applied by sending email to zhengyi01@qiyi.com]. The dataset contains 68,312 images of 2,639 identities. The dataset consists of persons which come from cartoon videos. The samples are extracted from public available images on website and online videos on iQiYi company. All images pass through a careful manual annotation process. We evaluated the state-of-the-art image classification and face recognition algorithms on the iCartoonFace dataset as a baseline. A dataset fusion method which utilize face feature to improve the performance of cartoon recognition task is proposed. Experimental performance show that the performance of baseline models much worse than human performance. The proposed dataset fusion method achieves a 2% improvement over the baseline model. In a word, state-of-the-art algorithms for classification and recognition are far from being perfect for unconstrained cartoon person recognition.

READ FULL TEXT

page 1

page 2

page 3

page 5

page 6

page 7

research
11/19/2018

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...
research
01/23/2015

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

We explore the task of recognizing peoples' identities in photo albums i...
research
12/20/2018

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

It is becoming increasingly easy to automatically replace a face of one ...
research
03/09/2017

WebCaricature: a benchmark for caricature face recognition

Caricatures are facial drawings by artists with exaggeration on certain ...
research
06/08/2018

Unifying Identification and Context Learning for Person Recognition

Despite the great success of face recognition techniques, recognizing pe...
research
10/20/2017

Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition

We present an unconstrained ear recognition framework that outperforms s...
research
02/11/2023

DaliID: Distortion-Adaptive Learned Invariance for Identification Models

In unconstrained scenarios, face recognition and person re-identificatio...

Please sign up or login with your details

Forgot password? Click here to reset