Investigating Semantic Segmentation Models to Assist Visually Impaired People
| Type of publication: | Conference paper |
| Citation: | Villamizar_ECCV_2024 |
| Publication status: | Accepted |
| Booktitle: | European Conference on Computer Vision - Workshops |
| Year: | 2024 |
| Crossref: | Villamizar_Idiap-RR-13-2024: |
| Abstract: | In this work, we address the semantic segmentation task with the purpose of allowing visually impaired people to comprehend their environments. To this end, we study and leverage convolutional networks trained on public automotive datasets and a new egocentric infrared dataset collected in urban areas. Domain adaptation, efficiency and segmentation accuracy are the focus of our study. |
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| Added by: | [UNK] |
| Total mark: | 0 |
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