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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.15455 |
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| _version_ | 1866911766239248384 |
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| author | Banavathu, Rahul Sree, Modem Veda Sri, Bollina Kavya De, Suddhasil |
| author_facet | Banavathu, Rahul Sree, Modem Veda Sri, Bollina Kavya De, Suddhasil |
| contents | Object detection in reduced visibility has become a prominent research area. The existing techniques are not accurate enough in recognizing objects under such circumstances. This paper introduces a new foggy object detection method through a two-staged architecture of region identification from input images and detecting objects in such regions. The paper confirms notable improvements of the proposed method's accuracy and detection time over existing techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15455 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | New Foggy Object Detecting Model Banavathu, Rahul Sree, Modem Veda Sri, Bollina Kavya De, Suddhasil Computer Vision and Pattern Recognition Machine Learning Object detection in reduced visibility has become a prominent research area. The existing techniques are not accurate enough in recognizing objects under such circumstances. This paper introduces a new foggy object detection method through a two-staged architecture of region identification from input images and detecting objects in such regions. The paper confirms notable improvements of the proposed method's accuracy and detection time over existing techniques. |
| title | New Foggy Object Detecting Model |
| topic | Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2401.15455 |