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Unsupervised Object Discovery and Localization in the Wild: Part-based
  Matching with Bottom-up Region Proposals

Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals

25 January 2015
Minsu Cho
Suha Kwak
Cordelia Schmid
Jean Ponce
ArXivPDFHTML

Papers citing "Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals"

50 / 137 papers shown
Title
Convolutional Hough Matching Networks for Robust and Efficient Visual
  Correspondence
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
Juhong Min
Seungwook Kim
Minsu Cho
38
15
0
11 Sep 2021
Deep Hough Voting for Robust Global Registration
Deep Hough Voting for Robust Global Registration
Junha Lee
Seungwook Kim
Minsu Cho
Jaesik Park
3DPC
51
99
0
09 Sep 2021
Learning Open-World Object Proposals without Learning to Classify
Learning Open-World Object Proposals without Learning to Classify
Dahun Kim
Nayeon Lee
A. Angelova
In So Kweon
Weicheng Kuo
SSeg
21
123
0
15 Aug 2021
Multi-scale Matching Networks for Semantic Correspondence
Multi-scale Matching Networks for Semantic Correspondence
Dongyang Zhao
Ziyang Song
Zhenghao Ji
Gangming Zhao
Weifeng Ge
Yizhou Yu
26
48
0
31 Jul 2021
Unsupervised Discovery of Object Radiance Fields
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu
Leonidas J. Guibas
Jiajun Wu
OCL
32
122
0
16 Jul 2021
PatchNet: Unsupervised Object Discovery based on Patch Embedding
PatchNet: Unsupervised Object Discovery based on Patch Embedding
H. Moon
Heng Hao
Sima Didari
J. Woo
P. Bangert
SSL
22
3
0
16 Jun 2021
Large-Scale Unsupervised Object Discovery
Large-Scale Unsupervised Object Discovery
Huy V. Vo
Elena Sizikova
Cordelia Schmid
P. Pérez
Jean Ponce
ObjD
26
54
0
12 Jun 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories
  using Dual Memory
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
Sai Saketh Rambhatla
Ramalingam Chellappa
Abhinav Shrivastava
25
17
0
04 May 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
16
53
0
29 Apr 2021
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using
  Hierarchical Self-Supervision
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
Zhenzhen Weng
Mehmet Giray Ogut
Shai Limonchik
Serena Yeung
22
43
0
02 Apr 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
23
65
0
31 Mar 2021
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
34
68
0
25 Nov 2020
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLM
OffRL
33
9
0
25 Nov 2020
Self-supervised Segmentation via Background Inpainting
Self-supervised Segmentation via Background Inpainting
Isinsu Katircioglu
Helge Rhodin
Victor Constantin
Jorg Sporri
Mathieu Salzmann
Pascal Fua
19
8
0
11 Nov 2020
AutoAtlas: Neural Network for 3D Unsupervised Partitioning and
  Representation Learning
AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning
K. A. Mohan
Alan Kaplan
6
0
0
29 Oct 2020
A Comparative Study on Effects of Original and Pseudo Labels for Weakly Supervised Learning for Car Localization Problem
Cenk Bircanoglu
SSL
WSOL
6
0
0
08 Oct 2020
Video Region Annotation with Sparse Bounding Boxes
Video Region Annotation with Sparse Bounding Boxes
Yuzheng Xu
Yang Wu
Nur Sabrina binti Zuraimi
S. Nobuhara
Ko Nishino
VGen
22
2
0
17 Aug 2020
Robust Image Matching By Dynamic Feature Selection
Robust Image Matching By Dynamic Feature Selection
Hao Huang
Jianchun Chen
Xiang Li
Lingjing Wang
Yi Fang
16
3
0
13 Aug 2020
Weakly Supervised 3D Object Detection from Point Clouds
Weakly Supervised 3D Object Detection from Point Clouds
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
77
62
0
28 Jul 2020
Learning to Compose Hypercolumns for Visual Correspondence
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
OCL
21
76
0
21 Jul 2020
Toward unsupervised, multi-object discovery in large-scale image
  collections
Toward unsupervised, multi-object discovery in large-scale image collections
Huy V. Vo
P. Pérez
Jean Ponce
OCL
24
74
0
06 Jul 2020
Learning About Objects by Learning to Interact with Them
Learning About Objects by Learning to Interact with Them
Martin Lohmann
Jordi Salvador
Aniruddha Kembhavi
Roozbeh Mottaghi
OCL
6
18
0
16 Jun 2020
One-Shot Informed Robotic Visual Search in the Wild
One-Shot Informed Robotic Visual Search in the Wild
Karim Koreitem
Florian Shkurti
Travis Manderson
Wei-Di Chang
J. A. G. Higuera
Gregory Dudek
26
12
0
22 Mar 2020
Appearance Fusion of Multiple Cues for Video Co-localization
Appearance Fusion of Multiple Cues for Video Co-localization
Koteswar Rao Jerripothula
24
0
0
21 Mar 2020
Brain-inspired automated visual object discovery and detection
Brain-inspired automated visual object discovery and detection
Lichao Chen
S. Singh
T. Kailath
V. Roychowdhury
OCL
17
9
0
30 Sep 2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural
  Features
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
29
107
0
18 Aug 2019
Self-supervised Training of Proposal-based Segmentation via Background
  Prediction
Self-supervised Training of Proposal-based Segmentation via Background Prediction
Isinsu Katircioglu
Helge Rhodin
Victor Constantin
Jorg Sporri
Mathieu Salzmann
Pascal Fua
9
4
0
18 Jul 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
27
57
0
27 May 2019
Universal Bounding Box Regression and Its Applications
Universal Bounding Box Regression and Its Applications
Seungkwang Lee
Suha Kwak
Minsu Cho
17
18
0
15 Apr 2019
Unsupervised Image Matching and Object Discovery as Optimization
Unsupervised Image Matching and Object Discovery as Optimization
Huy V. Vo
Francis R. Bach
Minsu Cho
Kai Han
Yann LeCun
P. Pérez
Jean Ponce
OCL
27
65
0
05 Apr 2019
Harvesting Visual Objects from Internet Images via Deep Learning Based
  Objectness Assessment
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment
Kan Wu
Guanbin Li
Haofeng Li
Jianjun Zhang
Yizhou Yu
7
0
0
01 Apr 2019
Discovering Visual Patterns in Art Collections with Spatially-consistent
  Feature Learning
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
Xi Shen
Alexei A. Efros
Mathieu Aubry
SSL
24
86
0
07 Mar 2019
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
Runsheng Zhang
Yaping Huang
Mengyang Pu
Jian Zhang
Q. Guan
Qi Zou
Haibin Ling
ObjD
27
31
0
26 Feb 2019
StampNet: unsupervised multi-class object discovery
StampNet: unsupervised multi-class object discovery
Joost Visser
Alessandro Corbetta
Vlado Menkovski
F. Toschi
ObjD
19
4
0
07 Feb 2019
Unsupervised Automated Event Detection using an Iterative Clustering
  based Segmentation Approach
Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach
Deepa Gupta
R. Shrivastava
S. Phadke
J. Goudswaard
11
0
0
22 Jan 2019
Path-Invariant Map Networks
Path-Invariant Map Networks
Zaiwei Zhang
Zhenxiao Liang
Lemeng Wu
Xiaowei Zhou
Qi-Xing Huang
3DPC
22
12
0
31 Dec 2018
Learning from Web Data: the Benefit of Unsupervised Object Localization
Learning from Web Data: the Benefit of Unsupervised Object Localization
Xiaoxiao Sun
Liang Zheng
Yu-Kun Lai
Jufeng Yang
21
7
0
21 Dec 2018
Mining Interpretable AOG Representations from Convolutional Networks via
  Active Question Answering
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
22
14
0
18 Dec 2018
Foreground Clustering for Joint Segmentation and Localization in Videos
  and Images
Foreground Clustering for Joint Segmentation and Localization in Videos and Images
Abhishek Sharma
27
4
0
26 Nov 2018
Unsupervised learning of foreground object detection
Unsupervised learning of foreground object detection
Ioana Croitoru
Simion-Vlad Bogolin
Marius Leordeanu
OCL
28
48
0
14 Aug 2018
Deep Feature Factorization For Concept Discovery
Deep Feature Factorization For Concept Discovery
Edo Collins
R. Achanta
Sabine Süsstrunk
19
90
0
26 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
29
256
0
05 Jun 2018
Generative Adversarial Networks for Unsupervised Object Co-localization
Generative Adversarial Networks for Unsupervised Object Co-localization
Junsuk Choe
J. Park
Hyunjung Shim
GAN
31
1
0
01 Jun 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
41
194
0
12 Apr 2018
Fusing Saliency Maps with Region Proposals for Unsupervised Object
  Localization
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization
H. Karaoğuz
Patric Jensfelt
19
4
0
11 Apr 2018
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory
  Input
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
David Harwath
Adrià Recasens
Dídac Surís
Galen Chuang
Antonio Torralba
James R. Glass
32
200
0
04 Apr 2018
Zero-Shot Detection
Zero-Shot Detection
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
VLM
ObjD
30
98
0
19 Mar 2018
ADA: A Game-Theoretic Perspective on Data Augmentation for Object
  Detection
ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection
Sima Behpour
Kris Kitani
Brian Ziebart
AAML
38
4
0
21 Oct 2017
Mining Deep And-Or Object Structures via Cost-Sensitive
  Question-Answer-Based Active Annotations
Mining Deep And-Or Object Structures via Cost-Sensitive Question-Answer-Based Active Annotations
Quanshi Zhang
Ying Nian Wu
Hao Zhang
Song-Chun Zhu
26
5
0
13 Aug 2017
An evaluation of large-scale methods for image instance and class
  discovery
An evaluation of large-scale methods for image instance and class discovery
Matthijs Douze
Hervé Jégou
Jeff Johnson
21
4
0
09 Aug 2017
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