A survey on visual-based localization: On the benefit of heterogeneous data
We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …
sources, numerous data could be extracted: set of images, 3D model, coloured points …
A survey on deep hashing methods
Nearest neighbor search aims at obtaining the samples in the database with the smallest
distances from them to the queries, which is a basic task in a range of fields, including …
distances from them to the queries, which is a basic task in a range of fields, including …
From deterministic to generative: Multimodal stochastic RNNs for video captioning
Video captioning, in essential, is a complex natural process, which is affected by various
uncertainties stemming from video content, subjective judgment, and so on. In this paper, we …
uncertainties stemming from video content, subjective judgment, and so on. In this paper, we …
Deep adversarial metric learning for cross-modal retrieval
Cross-modal retrieval has become a highlighted research topic, to provide flexible retrieval
experience across multimedia data such as image, video, text and audio. The core of …
experience across multimedia data such as image, video, text and audio. The core of …
A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system
Energy Internet (EI) envisions a future energy system with sustainable concerns of efficiency,
economy and environment by achieving flexibility of multi-energy-integrated physical space …
economy and environment by achieving flexibility of multi-energy-integrated physical space …
Joint optimization of computing offloading and service caching in edge computing-based smart grid
With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …
the number of Smart Devices (SDs), the data generated by SDs has exponentially …
Multi-modal hashing for efficient multimedia retrieval: A survey
With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
Green resource allocation based on deep reinforcement learning in content-centric IoT
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
Binary generative adversarial networks for image retrieval
The most striking successes in image retrieval using deep hashing have mostly involved
discriminative models, which require labels. In this paper, we use binary generative …
discriminative models, which require labels. In this paper, we use binary generative …
Scalable deep hashing for large-scale social image retrieval
Recent years have witnessed the wide application of hashing for large-scale image retrieval,
because of its high computation efficiency and low storage cost. Particularly, benefiting from …
because of its high computation efficiency and low storage cost. Particularly, benefiting from …