Image-text dual neural network with decision strategy for small-sample image classification
Small-sample classification is a challenging problem in computer vision. In this work, we
show how to efficiently and effectively utilize semantic information of the annotations to …
show how to efficiently and effectively utilize semantic information of the annotations to …
Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier
Q Wang, H Lv, J Yue, E Mitchell - Neural Computing and Applications, 2017 - Springer
Multiview learning problem refers to the problem of learning a classifier from multiple view
data. In this data set, each data point is presented by multiple different views. In this paper …
data. In this data set, each data point is presented by multiple different views. In this paper …
Fundamental visual concept learning from correlated images and text
Heterogeneous web media consists of many visual concepts, such as objects, scenes, and
activities, which cannot be semantically decomposed. The task of learning fundamental …
activities, which cannot be semantically decomposed. The task of learning fundamental …
Image-text dual model for small-sample image classification
Small-sample classification is a challenging problem in computer vision and has many
applications. In this paper, we propose an image-text dual model to improve the …
applications. In this paper, we propose an image-text dual model to improve the …