Recent Advances in Face Detection Techniques: A SurveyMvg Rao
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In this paper, we survey the recent advances in real-world face detection techniques, beginning with the seminal Viola–Jones face detector methodology. These techniques are roughly categorized into two general schemes: rigid templates, learned mainly via boosting based methods or by the application ...
1. A comprehensive review in the light of technical evolutions: 时间跨度长,不仅是focus最近效果好的工作,而是对较为完整的历史进行了回顾,了解这整个的时间线有助于构建完整的知识体系。 2. An in-depth exploration of the key technologies and the recent state of the arts: Focus一些前沿而晦涩的概念,...
The architecture of the proposed Inside Cascaded CNN. 还有其他后续工作也依赖于级联 CNN 架构,包括“用于人脸检测的级联 CNN 的联合训练(Joint training of cascaded CNN for face detection)”[28] 和“基于级联卷积网络的人脸检测方法(Face detection method based on cascaded convolutional networks)”[29]。
Recent advances in deepfake generation makedeepfake more realistic and easier to make. Deepfake has been a signicant threat to national security, democracy, society, andour privacy, which calls for deepfake detection methods to combat potential threats. In the paper, we make a survey on state-of...
A Survey of Deep Learning-Based Object Detection Recent Advances in Deep Learning for Object Detection Recurrent Scale Approximation for Object Detection in CNN Relation Networks for Object Detection Single-Shot Refinement Neural Network for Object Detection ...
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning. arXiv 2020 paper bib Huimin Peng A Survey of Deep Meta-Learning. Metalearning: Applications to Automated Machine Learning and Data Mining 2020 paper bib Mike Huisman, Jan N. van Rijn, Aske Plaat Meta-learning for Few-sho...
Deepfake refers to realistic, but fake images, sounds, and videos generated by articial intelligence methods. Recent advances in deepfake generation make deepfake more realistic and easier to make. Deepfake has been a signicant threat to national security, democracy, society, and our privacy, which...
Andrew Ng, the Chief Scientist at Baidu Research, described the notion of deep learning as “Using brain simulations, hope to make learning algorithms much better and easier to use and make revolutionary advances in machine learning and AI”. While deep neural networks (DNNs) have conquered diffe...