Results 71 to 80 of about 8,378,989 (251)

Survey on person re-identification based on deep learning

open access: yesCAAI Transactions on Intelligence Technology, 2018
Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under ...
Kejun Wang   +4 more
doaj   +1 more source

Supervised Hashing for Image Retrieval via Image Representation Learning

open access: yesAAAI Conference on Artificial Intelligence, 2014
Hashing is a popular approximate nearest neighbor search approach for large-scale image retrieval. Supervised hashing, which incorporates similarity/dissimilarity information on entity pairs to improve the quality of hashing function learning, has ...
Rongkai Xia   +4 more
semanticscholar   +1 more source

Maximum Entropy Principle in Image Restoration

open access: yesAdvances in Electrical and Computer Engineering, 2018
Many imaging systems are faced with the problem of estimating a true image from a degraded dataset. In such systems, the image degradation is translated into a convolution with a Point Spread Function (PSF) and addition of noise.
PETROVICI, M.-A., DAMIAN, C., COLTUC, D.
doaj   +1 more source

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

open access: yesNature Machine Intelligence, 2022
Xiangxiang Zeng   +6 more
semanticscholar   +1 more source

A Quantum Image Representation Based on Bitplanes

open access: yesIEEE Access, 2018
Quantum image representation plays an important role in quantum image processing. In this paper, a bitplane representation of quantum images (BRQI) is proposed, which uses (n+4) or (n+6) qubits to store a grayscale or RGB color image of ${2^{n ...
Haisheng Li   +4 more
semanticscholar   +1 more source

A Universal Field-of-View Mask Segmentation Method on Retinal Images From Fundus Cameras

open access: yesIEEE Access
One of the first steps in the retinal image preprocessing is cropping the Field of View (FOV) area and scaling it into a template of a predefined size.
V. V. Starovoitov   +6 more
doaj   +1 more source

Single-Image Multi-Parametric Representation of Optical Properties through Encodings to the HSV Color Space [PDF]

open access: gold, 2023
Verónica Mieites   +3 more
openalex   +1 more source

Joint Representation of Temporal Image Sequences and Object Motion for\n Video Object Detection [PDF]

open access: green, 2020
Junho Koh   +5 more
openalex   +1 more source

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