9 Result(s)
within
Conference Paper
Huanyu Liu
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Chapter and Conference Paper
Image Captioning with Global Information Enhanced Image Representation
In recent years, significant progress has been made in image captioning using the encoder-decoder framework. However, most of these methods fail to exploit global information effectively. Global information pr...
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Chapter and Conference Paper
Robust Target Detection and Localization for UAV Autonomous Landing with Partially Occluded Targets
This paper presents an approach for robust target detection and localization in the context of UAV autonomous landing with partially occluded targets. Since the performance of the autonomous landing system lar...
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Chapter and Conference Paper
Class Incremental Learning Method for Hyperspectral Images Based on Real Data Playback Mechanism and Classification Network Optimization
In recent years, the hyperspectral image (HSI) classification has attracted great attention in the field of earth observation. With the expansion of application scenarios and the continuous improvement of appl...
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Chapter and Conference Paper
Super Resolution of Unpaired MR Images Based on Domain Migration
High-resolution magnetic resonance imaging (MRI) is very important for doctors to judge the condition. At present, the depth learning method has been widely studied in the super-resolution reconstruction of MR...
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Chapter and Conference Paper
Radar Waveform Gaming Configurable Framework Based on Deep Reinforcement Learning
Radar faces a variety of different jamming techniques, among which mainlobe jamming is difficult to deal with. Traditional experience-based passive anti-jamming methods are usually less effective when facing f...
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Chapter and Conference Paper
Small Object Detection Based on Multi-source Data Learning Fusion Network
Small object group detection is a difficult task in the field of object detection. In recent years, with the development of sensing technology and unmanned driving, there are more and more multi-source data in...
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Chapter and Conference Paper
Channel Pruning and Quantization-Based Learning for Object Detection with Computing Source Limited Application
the rise of convolutional neural network (CNN) in the field of computer vision, more and more practical applications need to deploy CNN on mobile devices. However, due to the large amount of CNN computi...
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Chapter and Conference Paper
SCHC: Incorporating Social Contagion and Hashtag Consistency for Topic-Oriented Social Summarization
The boom of social media platforms like Twitter brings the large scale short, noisy and redundant messages, making it difficult for people to obtain essential information. We study extractive topic-oriented so...
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Chapter and Conference Paper
Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation
Learning and utilizing personas in open-domain dialogue have become a hotspot in recent years. The existing methods that only use predefined explicit personas enhance the personality to some extent, however, t...
