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A Comparison of Bottom-Up Models for Spatial Saliency Predictions in Autonomous Driving
Bottom-up saliency models identify the salient regions of an image based on features such as color, intensity and orientation. These models are typically used as predictors of human visual behavior and for computer vision tasks. In this paper, we conduct a systematic evaluation of the saliency maps...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536998/ https://www.ncbi.nlm.nih.gov/pubmed/34696044 http://dx.doi.org/10.3390/s21206825 |