Nothing Special   »   [go: up one dir, main page]

Chen et al., 2020 - Google Patents

COCO-Search18: A dataset for predicting goal-directed attention control

Chen et al., 2020

View PDF
Document ID
2361352954185789480
Author
Chen Y
Yang Z
Ahn S
Samaras D
Hoai M
Zelinsky G
Publication year
Publication venue
bioRxiv

External Links

Snippet

Attention control is a basic behavioral process that has been studied for decades. The currently best models of attention control are deep networks trained on free-viewing behavior to predict bottom-up attention control—saliency. We introduce COCO-Search18 …
Continue reading at www.biorxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
Rajalingham et al. Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
Chen et al. Coco-search18 fixation dataset for predicting goal-directed attention control
Turner et al. A dynamic stimulus-driven model of signal detection.
Zelinsky TAM: Explaining off-object fixations and central fixation tendencies as effects of population averaging during search
Murugappan et al. A novel few-shot classification framework for diabetic retinopathy detection and grading
Verghese Active search for multiple targets is inefficient
Cadieu et al. The neural representation benchmark and its evaluation on brain and machine
Bidwai et al. A systematic literature review on diabetic retinopathy using an artificial intelligence approach
Arru et al. Exploiting visual behaviour for autism spectrum disorder identification
Schwartz et al. Mapping paradigm ontologies to and from the brain
Ho et al. Deep ensemble learning for retinal image classification
Mayo et al. How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
Deneshkumar et al. Identification of outliers in medical diagnostic system using data mining techniques
Ahmed et al. Applying eye tracking with deep learning techniques for early-stage detection of autism spectrum disorders
Aktı et al. A comparative study of machine learning methods for predicting the evolution of brain connectivity from a baseline timepoint
Brodersen et al. Integrated Bayesian models of learning and decision making for saccadic eye movements
Mvoulana et al. Fine-tuning Convolutional Neural Networks: a comprehensive guide and benchmark analysis for Glaucoma Screening
Friedman et al. Factors affecting inter-rater agreement in human classification of eye movements: a comparison of three datasets
Chen et al. COCO-Search18: A dataset for predicting goal-directed attention control
Tobin et al. A probabilistic framework for content-based diagnosis of retinal disease
Walshe et al. Efficient allocation of attentional sensitivity gain in visual cortex reduces foveal sensitivity in visual search
CHALO et al. A New Preprocessing Method for Diabetes and Biomedical Data Classification
König et al. Modeling visual exploration in rhesus macaques with bottom-up salience and oculomotor statistics
Wang et al. Value-directed information search in partner choice
Chen et al. A window of cognition: Eyetracking the reasoning process in spatial beauty contest games