Reducing overfitting in vehicle recognition by decorrelated sparse representation regularisation
Abstract Most state‐of‐the‐art vehicle recognition methods benefit from the excellent feature extraction capabilities of convolutional neural networks (CNNs), which allow the models to perform well on the intra‐dataset. However, they often show poor generalisation when facing cross‐datasets due to t...
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| Main Authors: | Wanyu Wei, Xinsha Fu, Siqi Ma, Yaqiao Zhu, Ning Lu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12320 |
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