CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2939278
Abstract: Object categorization in images is fundamental to various industrial areas, such as automated visual inspection, fast image retrieval, and intelligent surveillance. Most existing methods treat visual features (e.g., scale-invariant feature transform) as content information of… read more here.
Keywords: visual contexts; contexts; multiple visual; object categorization ... See more keywords
Extracting Multiple Visual Senses for Web Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2847248
Abstract: Labeled image datasets have played a critical role in high-level image understanding. However, the process of manual labeling is both time consuming and labor intensive. To reduce the dependence on manually labeled data, there have… read more here.
Keywords: sense specific; multiple visual; senses web; visual senses ... See more keywords
Multiple visual objects are sampled sequentially
Sign Up to like & getrecommendations! Published in 2017 at "PLoS Biology"
DOI: 10.1371/journal.pbio.2003230
Abstract: When acting in a complex visual environment, it is essential to be able to flexibly allocate attention to parts of the visual scene that may contain goal-relevant information. The paper by Jia et al. provides… read more here.
Keywords: visual objects; multiple visual; sampled sequentially; biology ... See more keywords