May 17, 2017 · In this paper, we propose a novel approach to employ CNN evidences to improve the SIFT matching accuracy, which plays a critical role in improving the object ...
May 17, 2017 · In this paper, we propose a novel approach to employ CNN evidences to improve the SIFT matching accuracy, which plays a critical role in ...
In this paper, we propose a novel approach to employ CNN evidences to improve the SIFT matching accuracy, which plays a critical role in improving the object ...
This proposed work deals with a combination of both conventional and machine learning approaches to retrieve an image object from a given dataset by a ...
The focus of this survey is instance-level image retrieval. In this task, given a query image depicting a particular object/scene/architecture, the aim is to ...
Jan 17, 2019 · Small-Object Detections: SIFT is effective in detecting and matching key points in small or low-resolution images, where CNNs may struggle due ...
Missing: Evidences | Show results with:Evidences
We propose an image representation model, complementary CNN and SIFT (CCS), to fuse CNN and SIFT in a multi-level and complementary way.
We adopt the Scale-Invariant Feature Transform (SIFT) features as the low-level feature and the Convolutional Neural Network. (CNN) features as the high-level ...
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May 20, 2017 · Bibliographic details on SIFT Matching with CNN Evidences for Particular Object Retrieval.
A comprehensive survey of instance retrieval over the last decade, presenting milestones in modern instance retrieval, reviews a broad selection of previous ...