Shoreline information extraction is an important basis for marine supervision and development. Due to the high-time-cost and low-extraction-accuracy of the traditional shoreline extraction method based on field investigation and artificial ...

Oil spills bring great negative impact on marine ecology and social economy. At present, remote sensing technology is an important tool for marine oil spill monitoring. In this paper, a marine oil film inversion method using infrared thermal imager was ...

Shipborne radar is an indispensable target detection instrument during navigation. Based on the shipborne radar image collected by the Yukun teaching-training ship of Dalian Maritime University, a highlight targets extraction method is proposed here. ...

Succinct event description based on multiple documents is critical to news systems as well as search engines. Different from existing summarization or event tasks, Multi-document Event Summarization (MES) aims at the query-level event sequence generation, ...

With the rapid growth of video resources on the Internet, text-video retrieval has become a common requirement. Scholars handled text-video retrieval tasks with two-broad-category: concept-based methods and neural semantics match networks. Besides deep ...

Text-video search has become an important demand in many industrial video sharing platforms, e.g., YouTube, TikTok, and WeChat Channels, thereby attracting increasing research attention. Traditional relevance-based ranking methods for text-video search ...

Continual graph learning is rapidly emerging as an important role in a variety of real-world applications such as online product recommendation systems and social media. While achieving great success, existing works on continual graph learning ignore ...

With the recent boom of video-based social platforms (e.g., YouTube and TikTok), video retrieval using sentence queries has become an important demand and attracts increasing research attention. Despite the decent performance, existing text-video ...

Optimization problems of the numerical model in the engineering field usually involve many undetermined parameters and computationally expensive simulations. Using evolutionary algorithms alone is inefficient because it takes up thousands of engineering ...

While pre-trained language models (e.g., BERT) have achieved impressive results on different natural language processing tasks, they have large numbers of parameters and suffer from big computational and memory costs, which make them difficult for real-...

Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control schemes (e.g. MPTCP) cannot be ...

Aiming at better representing multivariate relationships, this paper investigates a motif dimensional framework for higher-order graph learning. The graph learning effectiveness can be improved through OFFER. The proposed framework mainly aims at ...

The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search. Different from traditional and well-formed articles, self-media online articles are mainly ...

Speech synthesis (text to speech, TTS) and recognition (automatic speech recognition, ASR) are important speech tasks, and require a large amount of text and speech pairs for model training. However, there are more than 6,000 languages in the world and ...

Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle of ternary closures and the trend of group formation, the multivariate ...

Several HRI studies have investigated the use of interactive social robots to enhance a variety of activities designed for children in recent years. Notably, these robots have shown the ability to facilitate greater engagement with rehabilitative ...

Tags of a Point of Interest (POI) can facilitate location-based services from many aspects like location search and place recommendation. However, many POI tags are often incomplete or imprecise, which may lead to performance degradation of tag-...

Power Reform No. 9 and related supporting policies proposed to open the incremental distribution business in an orderly manner and encourage social capital to invest in the incremental distribution network, this has a tremendous impact on the scale of ...

From personal robot assistant to self-driving vehicles, artificial intelligence (AI) is the backbone underlying millions of future advanced applications. As robots become increasingly pervasive in daily life, it is expected that robots will augment ...