In this paper, we present a novel multi-task framework which aims to improve the performance of car model classification leveraging visual features and pose information extracted from single RGB images. In particular, we merge the visual features obtained through an image classification network and the features computed by a model able to predict the pose in terms of 2D car keypoints. We show how this approach considerably improves the performance on the model classification task testing our framework on a subset of the Pascal3D dataset containing the car classes. Finally, we conduct an ablation study to demonstrate the performance improvement obtained with respect to a single visual classifier network.

Improving Car Model Classification through Vehicle Keypoint Localization / Simoni, Alessandro; D'Eusanio, Andrea; Pini, Stefano; Borghi, Guido; Vezzani, Roberto. - 5:(2021), pp. 354-361. ((Intervento presentato al convegno 16th International Conference on Computer Vision Theory and Applications tenutosi a Online nel 8-10 February 2021 [10.5220/0010207803540361].

Improving Car Model Classification through Vehicle Keypoint Localization

Alessandro Simoni;Andrea D'Eusanio;Stefano Pini;Guido Borghi;Roberto Vezzani
2021

Abstract

In this paper, we present a novel multi-task framework which aims to improve the performance of car model classification leveraging visual features and pose information extracted from single RGB images. In particular, we merge the visual features obtained through an image classification network and the features computed by a model able to predict the pose in terms of 2D car keypoints. We show how this approach considerably improves the performance on the model classification task testing our framework on a subset of the Pascal3D dataset containing the car classes. Finally, we conduct an ablation study to demonstrate the performance improvement obtained with respect to a single visual classifier network.
16th International Conference on Computer Vision Theory and Applications
Online
8-10 February 2021
5
354
361
Simoni, Alessandro; D'Eusanio, Andrea; Pini, Stefano; Borghi, Guido; Vezzani, Roberto
Improving Car Model Classification through Vehicle Keypoint Localization / Simoni, Alessandro; D'Eusanio, Andrea; Pini, Stefano; Borghi, Guido; Vezzani, Roberto. - 5:(2021), pp. 354-361. ((Intervento presentato al convegno 16th International Conference on Computer Vision Theory and Applications tenutosi a Online nel 8-10 February 2021 [10.5220/0010207803540361].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1229971
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