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Why using F.binary_cross_entropy after softmax?

Status: Open.

#23 In vandit15/Class-balanced-loss-pytorch;

· Starethics opened on Oct 2, 2023

想知道数据集怎么切分的

Status: Open.

#21 In vandit15/Class-balanced-loss-pytorch;

· liyang-good opened on Jun 16, 2022

focal_loss with softmax

Status: Open.

#20 In vandit15/Class-balanced-loss-pytorch;

· czjghost opened on Mar 28, 2022

Can I replace (1) to (-1) ?

Status: Open.

#19 In vandit15/Class-balanced-loss-pytorch;

· yeon-kk opened on Oct 16, 2021

typo

Status: Open.

#17 In vandit15/Class-balanced-loss-pytorch;

· e-yi opened on Jul 26, 2021

why sum weights?

Status: Open.

#15 In vandit15/Class-balanced-loss-pytorch;

· mmxuan18 opened on Jan 27, 2021

Sth about samples_per_cls

Status: Open.

#14 In vandit15/Class-balanced-loss-pytorch;

· Liudzz opened on Jul 12, 2020

Is this same to apply pos_weight?

Status: Open.

#12 In vandit15/Class-balanced-loss-pytorch;

· jtlee90 opened on May 20, 2020

Object detection and Semantic segmentation

Status: Open.

#11 In vandit15/Class-balanced-loss-pytorch;

· abhigoku10 opened on May 20, 2020

Line 87 typo

Status: Open.

#10 In vandit15/Class-balanced-loss-pytorch;

· BenDrewry opened on May 2, 2020

why modulator?

Status: Open.

#9 In vandit15/Class-balanced-loss-pytorch;

· lai199508 opened on Apr 14, 2020

could you explain why you are using binary cross-entropy

Status: Open.

#8 In vandit15/Class-balanced-loss-pytorch;

· xysong1201 opened on Mar 6, 2020