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Convolutional Neural Networks based Focal Loss for Class Imbalance
  Problem: A Case Study of Canine Red Blood Cells Morphology Classification

Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification

10 January 2020
Kitsuchart Pasupa
Supawit Vatathanavaro
Suchat Tungjitnob
ArXivPDFHTML

Papers citing "Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification"

2 / 2 papers shown
Title
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the
  FBI-loss
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss
E. Ferrari
D. Bacciu
FaML
AI4CE
25
6
0
13 May 2021
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
243
447
0
28 Nov 2016
1