Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.17619 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910918161465344 |
|---|---|
| author | Coutinho, Catarina P. Merhab, Aneeqa Petkovic, Janko Zanchetta, Ferdinando Fioresi, Rita |
| author_facet | Coutinho, Catarina P. Merhab, Aneeqa Petkovic, Janko Zanchetta, Ferdinando Fioresi, Rita |
| contents | We exploit the mathematical modeling of the visual cortex mechanism for border completion to define custom filters for CNNs. We see a consistent improvement in performance, particularly in accuracy, when our modified LeNet 5 is tested with occluded MNIST images. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_17619 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enhancing CNNs robustness to occlusions with bioinspired filters for border completion Coutinho, Catarina P. Merhab, Aneeqa Petkovic, Janko Zanchetta, Ferdinando Fioresi, Rita Computer Vision and Pattern Recognition Artificial Intelligence We exploit the mathematical modeling of the visual cortex mechanism for border completion to define custom filters for CNNs. We see a consistent improvement in performance, particularly in accuracy, when our modified LeNet 5 is tested with occluded MNIST images. |
| title | Enhancing CNNs robustness to occlusions with bioinspired filters for border completion |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2504.17619 |