Automating the assessment of biofouling in images using expert agreement
as a gold standard

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Automating the assessment of biofouling in images using expert agreement as a gold standard

21 August 2020

Bartholomew Woodham

Peter Wilkinson

Andrew Robinson

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Papers citing "Automating the assessment of biofouling in images using expert agreement as a gold standard"

8 / 8 papers shown

Title
An interpretable approach to automating the assessment of biofouling in video footage Evelyn J. Mannix Bartholomew A. Woodham 186 0 0 17 Mar 2025
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 283 1,033 0 26 Mar 2018
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Fangchang Ma S. Karaman MDE 3DV 86 587 0 21 Sep 2017
Imbalanced Malware Images Classification: a CNN based Approach Songqing Yue Tianyang Wang 44 112 0 27 Aug 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,345 0 16 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,260 0 23 Feb 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 212 2,533 0 03 Jun 2015

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