Results 91 to 100 of about 52,284 (313)

A survey on deep learning based reenactment methods for deepfake applications

open access: yesIET Image Processing
Among the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. The long‐term objective of many researchers is to seamlessly mimic human facial movement or whole‐body activity ...
Ramamurthy Dhanyalakshmi   +2 more
doaj   +1 more source

Seesaw-Net: Convolution Neural Network With Uneven Group Convolution

open access: yes, 2019
In this paper, we are interested in boosting the representation capability of convolution neural networks which utilizing the inverted residual structure. Based on the success of Inverted Residual structure[Sandler et al. 2018] and Interleaved Low-Rank Group Convolutions[Sun et al.
openaire   +2 more sources

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

open access: yesAdvanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu   +18 more
wiley   +1 more source

PSANet: Automatic colourisation using position‐spatial attention for natural images

open access: yesIET Computer Vision
Due to the richness of natural image semantics, natural image colourisation is a challenging problem. Existing methods often suffer from semantic confusion due to insufficient semantic understanding, resulting in unreasonable colour assignments ...
Peng‐Jie Zhu   +6 more
doaj   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha   +12 more
wiley   +1 more source

A fast direct locator for radiation source based on composite convolution neural network

open access: yesElectronics Letters
The high spatial search complexity of the direct positioning method in passive positioning systems leads to long positioning time and high computational resource consumption.
Chenhao Gong   +3 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

DETECTION OF CLOUDS IN MEDIUM-RESOLUTION SATELLITE IMAGERY USING DEEP CONVOLUTIONAL NEURAL NETS [PDF]

open access: diamond, 2022
A. Hasan   +3 more
openalex   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

GAMNet: Global attention via multi‐scale context for depth estimation algorithm and application

open access: yesIET Image Processing
Deep neural networks significantly enhance the accuracy of the stereo‐based disparity estimation. Some current methods suffer from inefficient use of the global context information, which will lead to the loss of structural details in ill‐posed areas. To
Huitong Yang, Liang Lei, Haiwei Sang
doaj   +1 more source

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