Out‐of‐distribution detection based on multi‐classifiers
Abstract Existing out‐of‐distribution detection models rely on the prediction of a single classifier and are sensitive to classifier bias, making it difficult to discriminate similar feature out‐of‐distribution data. This article proposed a multi‐classifier‐based model and two strategies to enhance...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
|
| Series: | Cognitive Computation and Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ccs2.12079 |