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Learning to Observe: Approximating Human Perceptual Thresholds for
  Detection of Suprathreshold Image Transformations
v1v2v3 (latest)

Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations

Computer Vision and Pattern Recognition (CVPR), 2019
13 December 2019
Alan Dolhasz
Carlo Harvey
Ian Williams
    AAML
ArXiv (abs)PDFHTML

Papers citing "Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations"

1 / 1 papers shown
Time-Based Roofline for Deep Learning Performance Analysis
Time-Based Roofline for Deep Learning Performance AnalysisDynamic Languages Symposium (DLS), 2020
Yunsong Wang
Charlene Yang
Jordan Dudley
Yan Zhang
Thorsten Kurth
Samuel Williams
248
20
0
09 Sep 2020
1