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MS-UFAD: A Large-Scale Dataset for Real-world Unified Face Attack Detection with Text Descriptions#

our MS-UFAD dataset includes 5000 subjects from 3 ethnic groups (e.g., Asian, African, and European), covering ages from 16 to 80 years old, with a gender ratio close to 1:1. The collection settings include 5 types of lighting conditions (normal, strong, dim, side light, and back light), and scenes include both indoor and outdoor environments. The capturing devices cover 30 different models of smartphones.

https://ms-ufad.github.io/#


游戏工具#

帮助手残党提高注意力的方法,链接是假的,项目还没整理成开源的材料,不过很快

CuteLeaf
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Firefly
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无网传输技术#

一种特殊情况的数据传输协议,链接是假的,项目还没整理成开源的材料,不过很快

saicaca
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fuwari
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YueFeng 冯月
毕业于国际关系学院。在马上消费人工智能研究院,历任语音识别部、AI产品团队、创新研究部、AI心理学研究部负责人。
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