Results 41 to 50 of about 1,389,285 (222)
Applied Sciences, 2020 Most butterfly larvae are agricultural pests and forest pests, but butterflies have important ornamental value and the ability to sense and respond to changes in the ecological environment.
Dongjun Xin, Yen-Wei Chen, Jianjun Li
doaj +1 more source
S3AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, hyperspectral image (HSI) classification based on deep learning methods has attracted growing attention and made great progress. Convolutional neural networks based models, especially the residual networks (ResNets), have become the ...
Ningyang Li +3 more
doaj +1 more source
Spatial attention alters visual appearance
Current Opinion in Psychology, 2019 It is well established that attention improves performance on many visual tasks. However, for more than 100 years, psychologists, philosophers, and neurophysiologists have debated its phenomenology-whether attention actually changes one's subjective experience.
Marisa Carrasco, Antoine Barbot
openaire +3 more sources
How Does Spatial Attention Influence the Probability and Fidelity of Colour Perception?
Vision, 2019 Existing research has found that spatial attention alters how various stimulus properties are perceived (e.g., luminance, saturation), but few have explored whether it improves the accuracy of perception.
Austin J. Hurst +2 more
doaj +1 more source
Deep Ordinal Hashing With Spatial Attention [PDF]
IEEE Transactions on Image Processing, 2019 Hashing has attracted increasing research attentions in recent years due to its high efficiency of computation and storage in image retrieval. Recent works have demonstrated the superiority of simultaneous feature representations and hash functions learning with deep neural networks.
Lu Jin +5 more
openaire +3 more sources
Frontiers in Integrative Neuroscience, 2012 The role of body orientation in the orienting and allocation of social attention was examined using an adapted Simon paradigm. Participants categorized the facial expression of forward facing, computer-generated human figures by pressing one of two ...
Iwona ePomianowska +5 more
doaj +1 more source
Image Compression Network Structure Based on Multiscale Region of Interest Attention Network
Remote Sensing, 2023 In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI.
Jing Zhang +4 more
doaj +1 more source
No-onset looming motion guides spatial attention [PDF]
These 6 experiments explored the ability of moving random dot patterns to attract attention, as measured by a simple probe-detection task. Each trial began with random motion (i.e., dots linearly moved in random directions).
Lleras, Alejandro, von Mühlenen, Adrian
core +1 more source
Attention trades off spatial acuity
Vision Research, 2009 Covertly attending to a stimulus location increases spatial acuity. Is such increased spatial acuity coupled with a decreased acuity at unattended locations? We measured the effects of exogenous (transient and involuntary) and endogenous (sustained and voluntary) attention on observers' acuity thresholds for a Landolt gap resolution task at both ...
Montagna, Barbara +2 more
openaire +2 more sources
Facial Landmark Detection via Attention-Adaptive Deep Network
IEEE Access, 2019 Facial landmark detection is a key component of the face recognition pipeline as well as facial attribute analysis and face verification. Recently convolutional neural network-based face alignment methods have achieved significant improvement, but ...
Muhammad Sadiq +3 more
doaj +1 more source