Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3133954
Abstract: Deep neural networks have enabled major progresses in semantic segmentation. However, even the most advanced neural architectures suffer from important limitations. First, they are vulnerable to catastrophic forgetting, i.e. they perform poorly when they are… read more here.
Keywords: background incremental; semantic segmentation; modeling background; segmentation modeling ... See more keywords
The Effectiveness of Path-Segmentation for Modeling Lasso Times in Width-Varying Paths
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3567737
Abstract: Models of lassoing time to select multiple square icons exist, but realistic lasso tasks also typically involve encircling non-rectangular objects. Thus, it is unclear if we can apply existing models to such conditions where, e.g.,… read more here.
Keywords: modeling lasso; segmentation modeling; lasso times; path segmentation ... See more keywords