How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Yikai Wang
Yikai Wang
Li Zhang
Li Zhang
Yuan Yao
Yuan Yao
Cited by: 0|Bibtex|Views22
Other Links: arxiv.org

Abstract:

Deep learning based models have excelled in many computer vision task and appear to surpass humans performance. However, these models require an avalanche of expensive human labeled training data and many iterations to train their large number of parameters. This severely limits their scalability to the real-world long-tail distributed ...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments