Web-Scale Image Clustering Revisited
By Yannis Avrithis, Yannis Kalantidis, Evangelos C. Anagnostopoulos, Ioannis Z. Emiris. 2015
35 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Andrew Zisserman
- Dacheng Tao
- Cordelia Schmid
- Jitendra Malik
- Trevor Darrell
- Xiaogang Wang
- Andrea Vedaldi
In Media Technology
- Herv'e J'egou
- Matthijs Douze
- Jeff Johnson
- Bharath Hariharan
- Arthur Szlam
- Florent Perronnin
- Victor S. Lempitsky
- Artem Babenko
Citations in the corpus
- Billion-Scale Similarity Search with GPUs (2017, methodology): “We can also compare to [3], an approximate CPU method that clusters 10 8 128-d vectors to 85k centroids.”
- Low-Shot Learning with Large-Scale Diffusion (2017, methodology): “Several approximate algorithms [10, 23, 1, 17] have been proposed to efficiently produce the kNN graph used as input of iterative/diffusion methods, since this operation is of quadratic complexity in the number of images.”