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，数据的获取和标注往往是十分困难的，如何使用少量的样本训练出一个性能较好的模型成为这一问题的关键，而小样本学习正是为了解决这一类问题。 近年来在小样本学习领域虽然大量的算法被提了出来，但是仍然面临诸多问题，例如样本量过少，类内方差过大等等。这些问题导… Official track: 计算机视觉. Sponsor: 安徽炬视科技有限公司. Teams entered: 281.
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
- Aug 1, 2021