SIFT meets CNN: A decade survey of instance retrieval
In the early days, content-based image retrieval (CBIR) was studied with global features.
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
Recent advance in content-based image retrieval: A literature survey
Feature integration analysis of bag-of-features model for image retrieval
One of the biggest challenges in content based image retrieval is to solve the problem of
“semantic gaps” between low-level features and high-level semantic concepts. In this paper …
“semantic gaps” between low-level features and high-level semantic concepts. In this paper …
Hierarchical part matching for fine-grained visual categorization
As a special topic in computer vision, fine-grained visual categorization (FGVC) has been
attracting growing attention these years. Different with traditional image classification tasks …
attracting growing attention these years. Different with traditional image classification tasks …
Persistence-based structural recognition
This paper presents a framework for object recognition using topological persistence. In
particular, we show that the so-called persistence diagrams built from functions defined on …
particular, we show that the so-called persistence diagrams built from functions defined on …