Saliency estimation using a non-parametric low-level vision model
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - cat.cvc.uab.es
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - scholar.archive.org
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
Saliency estimation using a non-parametric low-level vision model
N Murray, M Vanrell, X Otazu… - 2011 IEEE Conference …, 2011 - portalrecerca.uab.cat
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - cic.uab.cat
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - Citeseer
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
Saliency estimation using a non-parametric low-level vision model
N Murray, M Vanrell, X Otazu, CA Parraga - Proceedings of the 2011 …, 2011 - dl.acm.org
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - academia.edu
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
Saliency estimation using a non-parametric low-level vision model
N Murray, M Vanrell, X Otazu, CA Parraga - CVPR 2011, 2011 - computer.org
Social media is rapidly becoming an integral part of modern society. People use social
media as a channel of communications with each other, a targeted group or a general …
media as a channel of communications with each other, a targeted group or a general …
[PDF][PDF] Saliency Estimation Using a Non-Parametric Low-Level Vision Model
N Murray, M Vanrell, X Otazu, CA Parraga - cic.uab.es
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …