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

26 February 2019

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

7 / 7 papers shown

Title
Optical Flow boosts Unsupervised Localization and Segmentation Xinyu Zhang Abdeslam Boularias 33 5 0 25 Jul 2023
Unsupervised Object Localization: Observing the Background to Discover Objects Oriane Siméoni Chloé Sekkat Gilles Puy Antonín Vobecký Éloi Zablocki Patrick Pérez OCL SSL 34 51 0 15 Dec 2022
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut Yangtao Wang Xiaoke Shen Yuan. Yuan Yuming Du Maomao Li S. Hu James L. Crowley Dominique Vaufreydaz VOS ViT 27 76 0 01 Sep 2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations Andrii Zadaianchuk Matthaeus Kleindessner Yi Zhu Francesco Locatello Thomas Brox 27 49 0 11 Jul 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 28 159 0 16 May 2022
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014
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 158 789 0 24 Nov 2014