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
The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …
the prosperity of research activity in image search or retrieval. With the ignorance of visual …
With a little help from my friends: Nearest-neighbor contrastive learning of visual representations
Self-supervised learning algorithms based on instance discrimination train encoders to be
invariant to pre-defined transformations of the same instance. While most methods treat …
invariant to pre-defined transformations of the same instance. While most methods treat …
Unsupervised visual representation learning by context prediction
This work explores the use of spatial context as a source of free and plentiful supervisory
signal for training a rich visual representation. Given only a large, unlabeled image …
signal for training a rich visual representation. Given only a large, unlabeled image …
Re-ranking person re-identification with k-reciprocal encoding
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
NetVLAD: CNN architecture for weakly supervised place recognition
We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …
and accurately recognize the location of a given query photograph. We present the following …
[BOOK][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
Sketch-based manga retrieval using manga109 dataset
Y Matsui, K Ito, Y Aramaki, A Fujimoto, T Ogawa… - Multimedia tools and …, 2017 - Springer
Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer
very limited search support, ie, keyword-based search by title or author. To make the manga …
very limited search support, ie, keyword-based search by title or author. To make the manga …
Image retrieval using scene graphs
This paper develops a novel framework for semantic image retrieval based on the notion of
a scene graph. Our scene graphs represent objects (" man"," boat"), attributes of objects (" …
a scene graph. Our scene graphs represent objects (" man"," boat"), attributes of objects (" …
Deep image retrieval: Learning global representations for image search
We propose a novel approach for instance-level image retrieval. It produces a global and
compact fixed-length representation for each image by aggregating many region-wise …
compact fixed-length representation for each image by aggregating many region-wise …