With the rapid development of wireless communication technology, various indoor location‐
based services (ILBSs) have gradually penetrated into daily life. Although many other …

In order to better apply the good performance of feature extraction and target detection used
in deep learning to fruit detection in orchards, a model of harvesting robot vision detector …

We propose an end-to-end place recognition model based on a novel deep neural network.
First, we propose to exploit the spatial pyramid structure of the images to enhance the vector …

Domain adaptation aims to leverage knowledge from a well-labeled source domain to a
poorly labeled target domain. A majority of existing works transfer the knowledge at either …

Multi-modal hashing is an effective technique to support large-scale multimedia retrieval,
due to its capability of encoding heterogeneous multi-modal features into compact and …

Hashing could significantly accelerate large-scale image search by transforming the high-
dimensional features into binary Hamming space, where efficient similarity search can be …

Ideation is a source of innovation and creativity, and is commonly used in early stages of
engineering design processes. This paper proposes an integrated approach for enhancing …

Unsupervised cross-modal hashing has attracted considerable attention to support large-
scale cross-modal retrieval. Although promising progresses have been made so far, existing …

Multi-modal hashing fuses multi-modal features at both offline training and online query
stage for compact binary hash learning. It has aroused extensive attention in research filed …

While deep neural networks have recently achieved promising results on the image
captioning task, they do not explicitly use the structural visual and textual knowledge within …