Dynamically adaptive adjustment loss function biased towards few‐class learning
Abstract Convolution neural networks have been widely used in the field of computer vision, which effectively solve practical problems. However, the loss function with fixed parameters will affect the training efficiency and even lead to poor prediction accuracy. In particular, when there is a class...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-02-01
|
| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12661 |