Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings

26 Jan 2020Mennatullah SiamNaren DoraiswamyBoris N. OreshkinHengshuai YaoMartin Jagersand

Significant progress has been made recently in developing few-shot object segmentation methods. Learning is shown to be successful in few-shot segmentation settings, using pixel-level, scribbles and bounding box supervision... (read more)

PDF 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.