The bag of feature model is one of the most successful model to represent an image for classification task. However, the discrimination loss in the local appearance coding and the lack of spatial information hinder its performance. To address these …
The discovery of key and distinctive parts is critical for scene parsing and understanding. However, it is a challenging problem due to the weakly supervised condition, i.e., no annotation for parts is available. To address above issues, we propose a …
Spatial Pyramid Matching is a successful extension of bag-of-feature model to embed spatial information of local features, in which the image is divided into a sequence of increasingly finer girds, and the grids are taken as uniform spatial …