Hasil Pencarian - Anuradha Kar

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  1. 1
    MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems

    MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems oleh Anuradha Kar

    Diterbitkan 2020-05-01
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  2. 2
    A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

    A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms oleh Anuradha Kar, Peter Corcoran

    Diterbitkan 2017-01-01
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  3. 3
    Development of Open-source Software and Gaze Data Repositories for Performance Evaluation of Eye Tracking Systems

    Development of Open-source Software and Gaze Data Repositories for Performance Evaluation of Eye Tracking Systems oleh Anuradha Kar, Peter Corcoran

    Diterbitkan 2019-10-01
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  4. 4
    Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations

    Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations oleh Anuradha Kar, Peter Corcoran

    Diterbitkan 2018-09-01
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  5. 5
    Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets.

    Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets. oleh Anuradha Kar, Manuel Petit, Yassin Refahi, Guillaume Cerutti, Christophe Godin, Jan Traas

    Diterbitkan 2022-04-01
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  6. 6
    Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets

    Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets oleh Anuradha Kar, Manuel Petit, Yassin Refahi, Guillaume Cerutti, Christophe Godin, Jan Traas

    Diterbitkan 2022-04-01
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