Sep 20, 2017 · In this paper, we propose to fuse CNN and FV to incorporate the advantages of both features for image retrieval. We extract CNN feature and FV ...
Recently, image representation based on convolutional neural network (CNN) becomes more popular than SIFT based feature, such as Fisher vector (FV).
Region based Image Retrieval with Query-Adaptive Feature Fusion. Zhang, Guixuan ; Zhang, Shuwu ; Zeng, Zhi ; Guan, Hu ; Wang, Fangxin. 2017. 会议名称, IEEE ...
... Image & Video Labeling and Retrieval. Paper Title: REGION BASED IMAGE RETRIEVAL WITH QUERY-ADAPTIVE FEATURE FUSION. Authors: Guixuan Zhang, Shuwu Zhang, Zhi ...
This paper proposes a multi-feature fusion image retrieval strategy with adaptive features based on information entropy theory.
Region-based image retrieval (RBIR) technique is revisited. In early attempts at RBIR in the late 90s, researchers found many ways to specify region-based ...
To address these challenges, we propose a novel RS image retrieval method that uses query-adaptive feature weights to fuse features and utilizes two image ...
In this paper, a novel regions-of-attention (ROA) based feature extraction and fusion scheme for efficient image retrieval is suggested.
A novel RS image retrieval method that uses query-adaptive feature weights to fuse features and utilizes two image similarities to improve retrieval ...
Oct 31, 2018 · Abstract:Feature fusion is a commonly used strategy in image retrieval tasks, which aggregates the matching responses of multiple visual ...
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