Between-class Learning for Image Classification

CVPR 2018 Yuji TokozumeYoshitaka UshikuTatsuya Harada

In this paper, we propose a novel learning method for image classification called Between-Class learning (BC learning). We generate between-class images by mixing two images belonging to different classes with a random ratio... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet