Joint deep feature learning and unsupervised visual domain adaptation for cross-domain 3D object retrieval

Volume: 57, Issue: 5, Pages: 102275 - 102275
Published: Sep 1, 2020
Abstract
With the widespread application of 3D capture devices, diverse 3D object datasets from different domains have emerged recently. Consequently, how to obtain the 3D objects from different domains is becoming a significant and challenging task. The existing approaches mainly focus on the task of retrieval from the identical dataset, which significantly constrains their implementation in real-world applications. This paper addresses the cross-domain...
Paper Details
Title
Joint deep feature learning and unsupervised visual domain adaptation for cross-domain 3D object retrieval
Published Date
Sep 1, 2020
Volume
57
Issue
5
Pages
102275 - 102275
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