Abstract: Instance image segmentation task requires training with abundant annotated data to achieve high accuracy. Recently, conditional image synthesis has demonstrated its effectiveness in ...
Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...
Abstract: Remote sensing instance segmentation is a significant but difficult task due to the need for a number of accurate mask labels. Although existing weakly supervised methods use multiple points ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback