Results 91 to 100 of about 116,902 (337)
Implicit Saliency in Deep Neural Networks [PDF]
In this paper, we show that existing recognition and localization deep architectures, that have not been exposed to eye tracking data or any saliency datasets, are capable of predicting the human visual saliency. We term this as implicit saliency in deep neural networks.
arxiv
Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley +1 more source
Previous studies of binaural beats have noted individual variability and response lability, but little attention has been paid to the salience of the binaural beat percept. The purpose of this study was to gauge the strength of the binaural beat percept by matching its salience to that of sinusoidal amplitude modulation (SAM), and to then compare rate ...
Emily Buss+2 more
openaire +3 more sources
Gaze Distribution Analysis and Saliency Prediction Across Age Groups
Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention system of young adults that, however, largely ignore the variations that ...
Aizawa, Kiyoharu+3 more
core +3 more sources
Multi‐Scaled Cellulosic Nanonetworks from Tunicates
Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj+10 more
wiley +1 more source
Hedging static saliency models to predict dynamic saliency
Abstract In recent years, many computational models for saliency prediction have been introduced. For dynamic scenes, the existing models typically combine different feature maps extracted from spatial and temporal domains either by following generic integration strategies such as averaging or winners take all or using machine learning techniques to ...
Kavak, Yasin, Erdem, Erkut, Erdem, Aykut
openaire +2 more sources
Saliency Prediction for Mobile User Interfaces
We introduce models for saliency prediction for mobile user interfaces. A mobile interface may include elements like buttons, text, etc. in addition to natural images which enable performing a variety of tasks.
Gupta, Prakhar+4 more
core +1 more source
In this article, a water‐evaporation driven energy harvester is devised that works even in the absence of sunlight. This is achieved by combining PVA hydrogel with thermoelectrics (TEG) to directly capture energy from water evaporation. Under mild conditions (RH 40%, T of 26 °C, and 2.8 m s−1 wind), 1.71 mW (1.02 W m−2) power can be generated, >3 fold ...
Zichen Gong, Ady Suwardi, Jing Cao
wiley +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
The Role of Saliency in Learning First Words
In word learning, one key accomplishment is the reference, that is, the linking of a word to its referent. According to classical theories, the term reference captures a mental event: A person uses a word to mentally recall a concept of an entity (an ...
Eugenia Wildt+2 more
doaj +1 more source