Results 31 to 40 of about 693,698 (310)
SiamMixer: A Lightweight and Hardware-Friendly Visual Object-Tracking Network
Sensors, 2022 Siamese networks have been extensively studied in recent years. Most of the previous research focuses on improving accuracy, while merely a few recognize the necessity of reducing parameter redundancy and computation load. Even less work has been done to
Li Cheng +6 more
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Deep Private-Feature Extraction
CoRR, 2018 We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is trained and evaluated based on information theoretic constraints. Using the selective exchange of information between a user's device and a service provider, DPFE enables the user to prevent certain sensitive information from being shared with a service provider, while
Seyed Ali Osia +5 more
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Learning Objectness Transfer Networks for Visual Tracking
IEEE Access, 2019 Existing deep trackers mainly use deep neural networks pre-trained on the object recognition training sets to generate deep features as target representation.
Shi Pu, Kaili Zhao, Honggang Zhang
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Diagnostics, 2021 Radiogenomic and radiotranscriptomic studies have the potential to pave the way for a holistic decision support system built on genomics, transcriptomics, radiomics, deep features and clinical parameters to assess treatment evaluation and care planning ...
Eleftherios Trivizakis +3 more
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Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains? [PDF]
, 2015 In this paper, we evaluate the generalization power of deep features (ConvNets) in two new scenarios: aerial and remote sensing image classification. We evaluate experi-mentally ConvNets trained for recognizing everyday objects for the classification of ...
Jefersson A. Dos Santos +5 more
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Selective deep features for micro-expression recognition [PDF]
, 2017 Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for micro-expression recognition have used hand-crafted features like LBP-TOP, Gabor filter and optical ...
Zhao, Guoying +2 more
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Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition
Sensors, 2019 The recognition performance of visual recognition systems is highly dependent on extracting and representing the discriminative characteristics of image data.
Hammam Alshazly +3 more
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Pulmonary Nodule Classification Using Feature and Ensemble Learning-Based Fusion Techniques
IEEE Access, 2021 The Pulmonary nodule indicates the presence of lung cancer. The deep convolutional neural networks (DCNNs) have been widely used to classify the pulmonary nodule as benign or malignant. However, an individual learner usually performs unsatisfactorily due
Muhammad Muzammil +4 more
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A Knowledge-Driven Multimedia Retrieval System Based on Semantics and Deep Features
Future Internet, 2020 In recent years the information user needs have been changed due to the heterogeneity of web contents which increasingly involve in multimedia contents.
Antonio Maria Rinaldi +2 more
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Deep Features for Text Spotting
, 2014 The goal of this work is text spotting in natural images. This is divided into two sequential tasks: detecting words regions in the image, and recognizing the words within these regions. We make the following contributions: first, we develop a Convolutional Neural Network (CNN) classifier that can be used for both tasks.
Jaderberg, M, Vedaldi, A, Zisserman, A
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