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Joint target tracking and identification in complex traffic scene
In practical road traffic scene, targets usually face high ground clutter, high and variable motion, high nonlinearity, which lead to targets...
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Neuromorphic visual scene understanding with resonator networks
Analysing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to...
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VR Scene Detail Enhancement Method Based on Depth Reinforcement Learning Algorithm
In virtual reality, due to factors such as light sources and surface materials of objects, the details of the scene exhibit extremely complex...
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Naturalistic Scene Modelling: Deep Learning with Insights from Biology
Advances in machine learning coupled with the abundances of training data has facilitated the deep learning era, which has demonstrated its ability...
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Deep semantic learning for acoustic scene classification
Acoustic scene classification (ASC) is the process of identifying the acoustic environment or scene from which an audio signal is recorded. In this...
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An indoor scene recognition system based on deep learning evolutionary algorithms
Blind and visually impaired (BVI) face various problems during their navigation. Being unable to rely on sight greatly restricts their capacity to...
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Retinal spike train decoder using vector quantization for visual scene reconstruction
The retinal impulse signal is the basic carrier of visual information. It records the distribution of light on the retina. However, its direct...
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Multi-Scene Smoke Detection Based on Multi-Feature Extraction Method
This study proposes a multi-scene smoke detection algorithm based on a multi-feature extraction method to address the problems of varying smoke...
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A coupled multi-task feature boosting method for remote sensing scene classification
The scene classification plays an essential role in processing very high resolution (VHR) images for understanding. The scene classification in...
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RETRACTED ARTICLE: Immersive animation scene design in animation language under virtual reality
The study aims to explore a new form of immersive animation scene design and improve the application effect of virtual reality (VR) in immersive...
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Bi-level Acoustic Scene Classification Using Lightweight Deep Learning Model
Identifying a scene based on the environment in which the related audio is recorded is known as acoustic scene classification (ASC). In this paper, a...
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MonoSAID: Monocular 3D Object Detection based on Scene-Level Adaptive Instance Depth Estimation
Monocular 3D object detection (Mono3OD) is a challenging yet cost-effective vision task in the fields of autonomous driving and mobile robotics. The...
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Direction-Oriented Topic Modeling with Applications in Traffic Scene Analysis
Unlike text analysis for which topic models are historically developed, traffic video analysis is dealing with much simpler topics, made of...
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Dynamic Speed and Separation Monitoring Based on Scene Semantic Information
Human-robot collaboration (HRC) based on speed and separation monitoring should consider the difference of risk factors in the scene; otherwise, the...
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Optimal Pre-processing of Laser Scanning Data for Indoor Scene Analysis and 3D Reconstruction of Building Models
The large-scale point cloud data representing buildings should be prudently pre-processed and down-sampled prior to post-data processing activities,...
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Lightweight dense video captioning with cross-modal attention and knowledge-enhanced unbiased scene graph
Dense video captioning (DVC) aims at generating description for each scene in a video. Despite attractive progress for this task, previous works...
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Automated Full Scene Parsing for Marine ASVs Using Monocular Vision
Perceiving and parsing a maritime scene automatically and in real time is a key task for autonomous surface vehicle navigation. We propose a panoptic...
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NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition
Scene text recognition (STR) has been widely applied in industrial and commercial fields. However, existing methods still face challenges when...
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Heterogeneous scene matching based on the gradient direction distribution field
Heterogeneous scene matching is a key technology in the field of computer vision. The image rotation problem is popular and difficult in the field of...
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Semi-supervised Remote Sensing Image Scene Classification Based on Generative Adversarial Networks
With the availability of numerous high-resolution remote sensing images, remote sensing image scene classification has been widely used in various...
