Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01217-w
Abstract: We study the problem of recovering an underlying 3D shape from a set of images. Existing learning based approaches usually resort to recurrent neural nets, e.g., GRU, or intuitive pooling operations, e.g., max/mean poolings, to… read more here.
Keywords: multi view; aggregation; view reconstruction; deep feature ... See more keywords
A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1959655
Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ... read more here.
Keywords: multispectral imagery; imagery; level fusion; feature level ... See more keywords
Deep Feature Fusion Multiple Instance Learning for WaDang Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2929837
Abstract: WaDang recognition can provide valuable information for digital protection of cultural relics. However, WaDang recognition is challenging due to a great number of variations, such as different characters, different background pattern, and different scale and… read more here.
Keywords: multiple instance; deep feature; instance learning; recognition ... See more keywords
Deep Feature Fusion for Rumor Detection on Twitter
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3111790
Abstract: The increasing popularity of social media has made the creation and spread of rumors much easier. Widespread rumors on social media could cause devastating damages to society and individuals. Automatically detecting rumors in a timely… read more here.
Keywords: deep feature; feature fusion; twitter; rumor ... See more keywords
High-Quality Signal Denoising and Deep Feature Representation and Its Application to the ENPEMF
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3204667
Abstract: The Earth’s natural pulsed electromagnetic field (ENPEMF) signal is released by the instantaneous disturbance of the Earth’s naturally varying magnetic field, which contains a large amount of information about the changing geological structures and their… read more here.
Keywords: noise; feature; feature representation; enpemf signal ... See more keywords
A Robust UAV Hyperspectral Image Stitching Method Based on Deep Feature Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3123980
Abstract: Unmanned aerial vehicle (UAV) hyperspectral imaging has been extensively applied in various fields. However, due to the limited imaging width, hyperspectral images (HSIs) captured by UAV need to be stitched, so as to effectively cover… read more here.
Keywords: stitching method; feature; uav hyperspectral; feature matching ... See more keywords
Blind Source Separation and Deep Feature Learning Network-Based Identification of Multiple Electromagnetic Radiation Sources
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3259020
Abstract: In order to overcome the difficulty of identifying multiple electromagnetic radiation sources (EMRS) of the same frequency and wideband EMRS, a deep neural network model based on blind source separation (BSS) and deep feature learning… read more here.
Keywords: network; feature; emrs; source ... See more keywords
Supervised Deep Feature Embedding With Handcrafted Feature
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2901407
Abstract: Image representation methods based on deep convolutional neural networks (CNNs) have achieved the state-of-the-art performance in various computer vision tasks, such as image retrieval and person re-identification. We recognize that more discriminative feature embeddings can… read more here.
Keywords: deep feature; feature; image; handcrafted feature ... See more keywords
Local Semantic Correlation Modeling Over Graph Neural Networks for Deep Feature Embedding and Image Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3163571
Abstract: Deep feature embedding aims to learn discriminative features or feature embeddings for image samples which can minimize their intra-class distance while maximizing their inter-class distance. Recent state-of-the-art methods have been focusing on learning deep neural… read more here.
Keywords: neural networks; feature embedding; correlation; deep feature ... See more keywords
Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2062944
Abstract: Corn has great importance in terms of production in the field of agriculture and animal feed. Obtaining pure corn seeds in corn production is quite significant for seed quality. For this reason, the distinction of… read more here.
Keywords: classification; deep feature; corn; feature extraction ... See more keywords
A similarity measure method fusing deep feature for mammogram retrieval.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-190575
Abstract: BACKGROUND Breast cancer is one of the most important malignant tumors among women causing a serious impact on women's lives and mammography is one the most important methods for breast examination. When diagnosing the breast… read more here.
Keywords: location; feature; retrieval; similarity ... See more keywords