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How many images do I need? Understanding how sample size per class
  affects deep learning model performance metrics for balanced designs in
  autonomous wildlife monitoring

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

16 October 2020
S. Shahinfar
P. Meek
G. Falzon
ArXivPDFHTML

Papers citing "How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring"

11 / 11 papers shown
Title
Generative Dataset Distillation using Min-Max Diffusion Model
Generative Dataset Distillation using Min-Max Diffusion Model
Junqiao Fan
Yunjiao Zhou
Min Chang Jordan Ren
Jianfei Yang
DiffM
63
0
0
24 Mar 2025
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Hao Zhou
Guergana Savova
Lijing Wang
41
0
0
10 Mar 2025
Sample size determination for machine learning in medical research
Wan Nor Arifin
Najib Majdi Yaacob
39
0
0
04 Mar 2025
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A Review
S. Wiegrebe
Philipp Kopper
R. Sonabend
Bernd Bischl
Andreas Bender
21
64
0
24 May 2023
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via
  Simulation-based Synthetic Data Augmentation and Multitask Learning
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning
Riccardo Finotello
D. L’hermite
Celine Quéré
Benjamin Rouge
M. Tamaazousti
J. Sirven
22
1
0
07 Oct 2022
Mask Usage Recognition using Vision Transformer with Transfer Learning
  and Data Augmentation
Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation
Hensel Donato Jahja
N. Yudistira
Sutrisno
ViT
16
8
0
22 Mar 2022
A workflow for segmenting soil and plant X-ray CT images with deep
  learning in Googles Colaboratory
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory
D. Rippner
P. Raja
Mason Earles
A. Buchko
M. Momayyezi
...
Dilworth Parkinson
Elizabeth Forrestel
K. Shackel
Jeffrey Neyhart
A. McElrone
25
0
0
18 Mar 2022
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac
  MRI
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI
Marcelo A. F. Toledo
Daniel M. Lima
J. Krieger
Marco A. Gutierrez
26
2
0
03 Jul 2021
Iterative Human and Automated Identification of Wildlife Images
Iterative Human and Automated Identification of Wildlife Images
Zhongqi Miao
Ziwei Liu
Kaitlyn M. Gaynor
M. Palmer
Stella X. Yu
W. Getz
22
46
0
05 May 2021
Detecting Mammals in UAV Images: Best Practices to address a
  substantially Imbalanced Dataset with Deep Learning
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning
B. Kellenberger
Diego Marcos
D. Tuia
29
262
0
29 Jun 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,019
0
26 Mar 2018
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