output
20152021
most citedParticular object retrieval with integral max-pooling of CNN activations

677 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2019★ 2 cited

Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images

Zhaohui Yang, Miaojing Shi, Chao Xu +2

Weakly-supervised object detection attempts to limit the amount of supervision by dispensing the need for bounding boxes, but still assumes image-level labels on the entire trainin…

cs.CV2019★ 1 cited

Graph convolutional networks for learning with few clean and many noisy labels

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +2

In this work we consider the problem of learning a classifier from noisy labels when a few clean labeled examples are given. The structure of clean and noisy data is modeled by a g…

cs.CV2017★ 5 cited

Fast Spectral Ranking for Similarity Search

Ahmet Iscen, Yannis Avrithis, Giorgos Tolias +2

Despite the success of deep learning on representing images for particular object retrieval, recent studies show that the learned representations still lie on manifolds in a high d…

cs.CV2015★ 677 cited

Particular object retrieval with integral max-pooling of CNN activations

Giorgos Tolias, Ronan Sicre, Hervé Jégou

Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as sho…