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Negative Results in Computer Vision: A Perspective

Negative Results in Computer Vision: A Perspective

11 May 2017
Ali Borji
ArXivPDFHTML

Papers citing "Negative Results in Computer Vision: A Perspective"

4 / 4 papers shown
Title
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
34
42
0
09 Jul 2024
Conceptual Framework and Documentation Standards of Cystoscopic Media
  Content for Artificial Intelligence
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence
Okyaz Eminaga
Timothy J. Lee
T. J. Ge
E. Shkolyar
Mark A. Laurie
Jin Long
L. Hockman
J. Liao
6
0
0
14 Jan 2023
Challenges in Designing Datasets and Validation for Autonomous Driving
Challenges in Designing Datasets and Validation for Autonomous Driving
Michal Uřičář
David Hurych
P. Krízek
S. Yogamani
20
34
0
26 Jan 2019
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
744
0
17 Apr 2018
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