2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
IJCAI 2020poster
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. This paper takes another approach, i.e., only requiring image-level label f…