In this paper, we propose a residual network (MAResNet) deeper than current pedestrian attribute recognition, which we use to recognize multiple attributes ...

Abstract—In surveillance images, soft biometric attributes have been demonstrated to be quite effective in the problem of person re-identification.

A residual network deeper than current pedestrian attribute recognition, which is used to recognize multiple attributes simultaneously and outperforming ...

In this paper, we propose a residual network (MAResNet) deeper than current pedestrian attribute recognition, which we use to recognize multiple attributes ...

The aim is to describe an approach to D object recognition using 3D features, by combining detected 2D features from different cameras. The object is modeled by ...

In this paper, we propose a residual network (MAResNet) deeper than current pedestrian attribute recognition, which we use to recognize multiple attributes ...

In this paper, we propose a residual network (MAResNet) deeper than current pedestrian attribute recognition, which we use to recognize multiple attributes ...

Multi-attribute residual network (MAResNet) for soft-biometrics recognition in surveillance scenarios. E Bekele, C Narber, W Lawson. 2017 12th IEEE ...

Multi-attribute residual network. (maresnet) for soft-biometrics recognition in surveillance scenarios. In. Automatic Face & Gesture Recognition (FG 2017) ...

3.1 MAResNet​​ We developed a residual network, called MAResNet, that can recognize multiple attributes simultaneously in order to perform re-identification ...