Supervised Deep Feature Embedding With Handcrafted Feature

Volume: 28, Issue: 12, Pages: 5809 - 5823
Published: Dec 1, 2019
Abstract
Image representation methods based on deep convolutional neural networks (CNNs) have achieved the state-of-the-art performance in various computer vision tasks, such as image retrieval and person re-identification. We recognize that more discriminative feature embeddings can be learned with supervised deep metric learning and handcrafted features for image retrieval and similar applications. In this paper, we propose a new supervised deep...
Paper Details
Title
Supervised Deep Feature Embedding With Handcrafted Feature
Published Date
Dec 1, 2019
Volume
28
Issue
12
Pages
5809 - 5823
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