no code implementations • 2 Nov 2020 • Feng Cen, Xiaoyu Zhao, Wuzhuang Li, Guanghui Wang
To alleviate the dependency on large-scale occluded image datasets, we propose a novel approach to improve the classification accuracy of occluded images by fine-tuning the pre-trained models with a set of augmented deep feature vectors (DFVs).
1 code implementation • 13 Jan 2020 • Feng Cen, Guanghui Wang
By employing the ResNet-152, pre-trained on the ILSVRC2012 training set, as the base network, the proposed SBDE-based classification scheme is extensively evaluated on the Caltech-101 and ILSVRC2012 datasets.
no code implementations • 10 Dec 2019 • Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang
Compared with features produced in earlier layers, the deep features are better at expressing semantic and contextual information.