15 citations · 16 across the 2 of their papers we have counts for
5 papers
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
Uno Fang, Jianxin Li, Xuequan Lu +3
Current annotation for plant disease images depends on manual sorting and handcrafted features by agricultural experts, which is time-consuming and labour-intensive. In this paper,…
HDF: Hybrid Deep Features for Scene Image Representation
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
Nowadays it is prevalent to take features extracted from pre-trained deep learning models as image representations which have achieved promising classification performance. Existin…
Unsupervised Deep Features for Privacy Image Classification
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful represent…
Tag-based Semantic Features for Scene Image Classification
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regar…
Indoor image representation by high-level semantic features
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2
Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…