Results 31 to 40 of about 1,963,303 (274)
Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training
Advances in Multimedia, 2022 This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image ...
Shishun Ge, Chunhong Zhu
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Survey of Zero-Shot Image Classification
Jisuanji kexue yu tansuo, 2021 It is time-consuming and laborious to manually label a large number of samples, and samples from some rare classes are difficult to obtain. Therefore, the zero-shot image classification has become a research hotspot in the computer vision field. Firstly,
LIU Jingyi, SHI Caijuan, TU Dongjing, LIU Shuai
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Robust hyperspectral image classification with rejection fields
, 2015 In this paper we present a novel method for robust hyperspectral image classification using context and rejection. Hyperspectral image classification is generally an ill-posed image problem where pixels may belong to unknown classes, and obtaining ...
Bioucas-Dias, Jose +2 more
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Adversarial Reconstruction-Classification Networks for PolSAR Image Classification
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more widely used in recent years. It is well known that PolSAR image classification is a dense prediction problem. The recently proposed fully convolutional networks (
Yanqiao Chen +5 more
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Remote Sensing, 2022 Marine activities occupy an important position in human society. The accurate classification of ships is an effective monitoring method. However, traditional image classification has the problem of low classification accuracy, and the corresponding ship ...
Yantong Chen +4 more
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Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
, 2018 Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating predictions from smaller regions of the image into an image-level ...
CT Hiley +9 more
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Deep Learning Based Mineral Image Classification Combined With Visual Attention Mechanism
IEEE Access, 2021 Mineral image classification technology based on machine vision is an efficient system for ore sorting. With the development of artificial intelligence and computer technology, the deep learning-based mineral image classification system is gradually ...
Yang Liu +4 more
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Classification images with uncertainty
Journal of Vision, 2006 Classification image and other similar noise-driven linear methods have found increasingly wider applications in revealing psychophysical receptive field structures or perceptual templates. These techniques are relatively easy to deploy, and the results are simple to interpret.
Bosco S, Tjan, Anirvan S, Nandy
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Revisiting IM2GPS in the Deep Learning Era
, 2017 Image geolocalization, inferring the geographic location of an image, is a challenging computer vision problem with many potential applications. The recent state-of-the-art approach to this problem is a deep image classification approach in which the ...
Hays, James, Jacobs, Nathan, Vo, Nam
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
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