There have been remarkable improvements in the semantic labelling task in the recent
years. However, the state of the art methods rely on large-scale pixel-level annotations. This
paper studies the problem of training a pixel-wise semantic labeller network from image-
level annotations of the present object classes. Recently, it has been shown that high quality
seeds indicating discriminative object regions can be obtained from image-level labels.
Without additional information, obtaining the full extent of the object is an inherently ill-posed …

There have been remarkable improvements in the semantic labelling task in the recent
years. However, the state of the art methods rely on large-scale pixel-level annotations. This
paper studies the problem of training a pixel-wise semantic labeller network from image-
level annotations of the present object classes. Recently, it has been shown that high quality
seeds indicating discriminative object regions can be obtained from image-level labels.
Without additional information, obtaining the full extent of the object is an inherently ill-posed …