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Object Discovery From a Single Unlabeled Image by Mining Frequent
  Itemset With Multi-scale Features

Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features

26 February 2019
Runsheng Zhang
Yaping Huang
Mengyang Pu
Jian Zhang
Q. Guan
Qi Zou
Haibin Ling
    ObjD
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Papers citing "Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features"

4 / 4 papers shown
Title
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and Segmentation
Xinyu Zhang
Abdeslam Boularias
18
5
0
25 Jul 2023
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
25
158
0
16 May 2022
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
181
2,943
0
15 Dec 2014
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
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