New English File Pre-intermediate Third Edition [TOP]

The “New English File Pre-Intermediate Third Edition” is designed for students who have completed a beginner’s course or have a basic understanding of English. The course aims to help learners improve their reading, writing, listening, and speaking skills, as well as develop their grammar and vocabulary. The course is divided into 12 units, each covering a specific topic, such as travel, food, and relationships.

Mastering English with New English File Pre-Intermediate Third Edition** new english file pre-intermediate third edition

The “New English File Pre-Intermediate Third Edition” is a comprehensive and engaging language learning course that is designed to help learners improve their English language skills. With its clear and concise lessons, engaging and authentic materials, and emphasis on grammar and vocabulary development, this course is an excellent choice for learners who are looking to take their English language skills to the next level. Whether you are a learner or a teacher, this course provides a range of benefits and support to help you achieve your English language goals. New English File Pre-Intermediate Third Edition&rdquo

The “New English File Pre-Intermediate Third Edition” is a comprehensive language learning course designed for students who have a basic understanding of English and are looking to improve their language skills. This course is part of the popular “New English File” series, which has been widely used by language learners and teachers around the world. In this article, we will take a closer look at the features and benefits of the “New English File Pre-Intermediate Third Edition” and how it can help learners achieve their English language goals. New English File&rdquo

Reference

If you use the data or code please cite:

Chengrui Wang and Han Fang and Yaoyao Zhong and Weihong Deng, MLFW: A Database for Face Recognition on Masked Faces, arXiv preprint arXiv:2108.07189.

BibTeX entry:
@article{wang2021mlfw,
  title={MLFW: A Database for Face Recognition on Masked Faces}, 
  author={Wang, Chengrui and Fang, Han and Zhong, Yaoyao and Deng, Weihong},
  journal={arXiv preprint arXiv:2109.05804},
  year={2021}
}

Download the database

This database is publicly available. We provide: 1) the original images(250x250), 2) the aligned images(112x112) and 3) the pair list. Baidu Netdisk(code:328y) , Google Drive

Now, we provide a list to indicate the masked faces. Google Drive


Contact

For further assistance, please contact , and Weihong Deng.