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By Peiyun Hu and Deva Ramanan at Carnegie Mellon University.
This repository includes the code for training and evaluating the SSH face detector introduced in our ICCV 2017 paper.
InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification, and feature extraction. It provides a specialized engine for one-to-one verification and one-to-many identification tasks, utilizing convolutional neural networks to transform raw image pixels into high-dimensional vector embeddings. The project includes a complete toolkit for detecting, aligning, and processing facial data to ensure consistent identity discrimination. Beyond core recognition, the platform distinguishes itself through an extensive model management and optimiz
PaddlePaddle 提供了丰富的计算单元，使得用户可以采用模块化的方法解决各种学习问题。在此Repo中，我们展示了如何用 PaddlePaddle来解决常见的机器学习任务，提供若干种不同的易学易用的神经网络模型。PaddlePaddle用户可领取免费Tesla V100在线算力资源，高效训练模型，每日登陆即送12小时，连续五天运行再加送48小时，前往使用免费算力。
The main features of paddlepaddle/models are: Awesome List, Face Detection, Face Detection Frameworks, Face Detection Systems.
Projects with overlapping indexed features include: peiyunh/tiny — By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. mahyarnajibi/ssh — This repository includes the code for training and evaluating the SSH face detector introduced in our ICCV 2017 paper. sfzhang15/sfd — By Shifeng Zhang. deepinsight/insightface — InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification,… bairdzhang/smallhardface — Link to the trained model. 521xueweihan/hellogithub — HelloGitHub is a centralized discovery platform and technical knowledge repository designed to help developers…
