Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
尽管深度学习在计算机视觉的诸多领域取得了巨大进步，但是这些方法都需要大量的数据作为支持，但是在某些任务上，正常状态的数据较易获取，但异常状态数据的获取往往是十分困难的，如何使用大量的正常样本、少量的异常样本训练出一个性能较好的异常检测模型成为这一问题的关键，而纹理学习、异常检测网络是为了解决这一类问题的尝试。 Official track: 计算机视觉. Sponsor: 炬视科技. Teams entered: 306.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Apr 28, 2022