Drawing the inspiration from the way human beings are capable of detecting a face from very few images seen in past (experience), Few-Shot Learning methods are reported in the literature. The problem is more challenging for face recognition tasks for limited dataset where the facial images are ...
我们的主要贡献包括:(i)我们首次强调了泛化人脸识别问题,这需要一个训练有素的模型在未知域上很好地泛化,而不需要任何更新。(ii)提出了一种新的Meta Face Recognition(MFR)框架来解决泛化人脸识别问题,该框架通过跨域元学习可迁移的知识来改善模型的泛化能力。(iii)设计了两个通用的人脸识别基准进行评价。在提出的基...
首发于Few-Shot Object Detection 切换模式写文章 登录/注册CVPR2020:Face Recognition on Long-Tailed Domains笔记 千佛山彭于晏 一个不勇敢的人12 人赞同了该文章 Title:《Domain Balancing: Face Recognition on Long-Tailed Domains》Authors: Dong Cao ; Xiangyu Zhu ; Xingyu Huang ; Jianzhu Guo ; Zhen ...
Low-shot Learning by Shrinking and Hallucinating Features This repository contains code associated with the following paper: Low-shot Visual Recognition by Shrinking and Hallucinating Features Bharath Hariharan,Ross Girshick arxiv 2016. You can find trained modelshere. ...
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python - serengil/deepface
卷积神经网络在计算机视觉中应用最为广泛.CNNs 最初是由Fukushima这个学者在他的论文"Neocognitron"中提及到的. 随后,Waibel 等人 [12] 引入了具有在时间感受野和反向传播训练之间共享权重的 CNN,用于phoneme recognition,而 LeCun 等人 [13] 开发了用于文档识别的实用 CNN 架构(图 2)。
2017 No.1 on ICCV 2017 MS-Celeb-1M Large-Scale Face Recognition Hard Set/Random Set/Low-Shot Learning Challenges. WeChat News, NUS ECE News, NUS ECE Poster, Award Certificate for Track-1, Award Certificate for Track-2, Award Ceremony. 2017 No.1 on National Institute of Standards and Tec...
Few-Shot Food Recognition via Multi-View Representation Learning This article considers the problem of few-shot learning for food recognition. Automatic food recognition can support various applications, e.g., dietary as... S Jiang,W Min,Y Lv,... - 《Acm Transactions on Multimedia Computing Com...
High Performance Face Recognition This repository provides several high performance models for unconstrained / large-scale / low-shot face recognition, based on which we have achieved: 2017 No.1 on ICCV 2017 MS-Celeb-1M Large-Scale Face RecognitionHard Set/Random Set/Low-Shot LearningChallenges.We...
Compared with other papers, the experimental results show that our method has better classification and segmentation. Keywords: few-shot learning; forensics; face forgery detection; GAN 1. Introduction The creation of fake videos and images using digital manipulation has become a serious social problem...