Rethinking Class Relations: Absolute-relative Few-shot Learning

12 Jan 2020Hongguang ZhangPhilip H. S. TorrHongdong LiSonglei JianPiotr Koniusz

The majority of existing few-shot learning describe image relations with {0,1} binary labels. However, such binary relations are insufficient to teach the network complicated real-world relations, due to the lack of decision smoothness... (read more)

PDF Abstract


No code implementations yet. Submit your code now

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