Multi-Level Ensemble Network for Scene Recognition
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DOI: 10.1007/s11042-019-07933-2
Abstract: Scene recognition is an important branch of computer vision and a common task for deep learning. As is known to all, different scenes are supported by different “key objects”. Therefore, the neural network used for… read more here.
Keywords: network; scene recognition; scene; multi level ... See more keywords
Deep Learning Based Application for Indoor Scene Recognition
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DOI: 10.1007/s11063-020-10231-w
Abstract: Recognizing indoor scene and objects and estimating their poses present a wide range of applications in robotic field. This task becomes more challenging especially in cluttered environments like the indoor scenery. Scaling up convnets presents… read more here.
Keywords: scene recognition; scene; deep learning; application ... See more keywords
Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks
Sign Up to like & getrecommendations! Published in 2021 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2021.04.006
Abstract: Aerial scene recognition is a fundamental visual task and has attracted an increasing research interest in the last few years. Most of current researches mainly deploy efforts to categorize an aerial image into one scene-level… read more here.
Keywords: based memory; aerial scene; scene recognition; scene ... See more keywords
Robust local metric learning via least square regression regularization for scene recognition
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DOI: 10.1016/j.neucom.2020.08.077
Abstract: Abstract Metric learning plays an important role in various machine learning tasks. Particularly, local metric learning is prevailing since it can learn more flexible metrics on complex datasets. However it may not be robust for… read more here.
Keywords: local metric; regression; metric learning; scene recognition ... See more keywords
Research on Automatic Parking Systems Based on Parking Scene Recognition
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DOI: 10.1109/access.2017.2760201
Abstract: As a key component of intelligent vehicle technology, automatic parking technology has become a popular research topic. Automatic parking technology can complete parking operations safely and quickly without a driver and can improve driving comfort,… read more here.
Keywords: automatic parking; parking scene; scene recognition; recognition ... See more keywords
Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition
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DOI: 10.1109/access.2017.2786672
Abstract: Scene recognition is a significant and challenging problem in the field of computer vision. One of the principal bottlenecks in applying machine learning techniques to scene recognition tasks is the requirement of a large number… read more here.
Keywords: scene recognition; dictionary learning; recognition; multicriteria based ... See more keywords
Automatic Scene Recognition Based on Constructed Knowledge Space Learning
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DOI: 10.1109/access.2019.2919342
Abstract: An automatic visual scene recognition has attracted increasing attention for developing multimedia systems as it provides rich information beyond object recognition and action recognition. Each scene image often contains or is characterized by a certain… read more here.
Keywords: scene; recognition; knowledge space; scene recognition ... See more keywords
Scene Recognition via Semi-Supervised Multi-Feature Regression
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DOI: 10.1109/access.2019.2935420
Abstract: With the development of visual sensor equipment (e.g., personal smart phones, vehicle cameras, surveillance videos and camcorders), scene recognition technology has attracted much attention due to its latent applications in visual surveillance, intelligent traffic and… read more here.
Keywords: scene recognition; recognition; semi supervised; feature ... See more keywords
An Efficient RGB-D Scene Recognition Method Based on Multi-Information Fusion
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DOI: 10.1109/access.2020.3039873
Abstract: RGB-D scene recognition is a challenging problem due to lack of RGB-D datasets and inefficient RGB-D fusion. In this paper, we exploit several factors that affect the RGB-D scene recognition performance, including the representations of… read more here.
Keywords: scene recognition; fusion; rgb scene; method ... See more keywords
A Super Descriptor Tensor Decomposition for Dynamic Scene Recognition
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DOI: 10.1109/tcsvt.2018.2825784
Abstract: This paper presents a new approach for dynamic scene recognition based on a super descriptor tensor decomposition. Recently, local feature extraction based on dense trajectories has been used for modeling motion. However, dense trajectories usually… read more here.
Keywords: super descriptor; tensor; dynamic scene; scene recognition ... See more keywords
Multiscale deep features learning for land-use scene recognition
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.12.015010
Abstract: Abstract. The features extracted from deep convolutional neural networks (CNNs) have shown their promise as generic descriptors for land-use scene recognition. However, most of the work directly adopts the deep features for the classification of… read more here.
Keywords: use scene; scene recognition; land use; deep features ... See more keywords