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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
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation
Zhenyang Feng
Zihe Wang
Saul Ibaven Bueno
Tomasz Frelek
Advikaa Ramesh
...
Hilmar Lapp
Charles V. Stewart
T. Berger-Wolf
Yu-Chuan Su
Wei-Lun Chao
58
0
0
12 Jan 2025
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
55
1
0
30 Oct 2024
Historical Printed Ornaments: Dataset and Tasks
Historical Printed Ornaments: Dataset and Tasks
Sayan Kumar Chaki
Z. S. Baltaci
Elliot Vincent
Remi Emonet
Fabienne Vial-Bonacci
Christelle Bahier-Porte
Mathieu Aubry
Thierry Fournel
52
0
0
16 Aug 2024
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic
  Segmentation
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
Dahyun Kang
Minsu Cho
ObjD
VLM
45
9
0
09 Aug 2024
Segment Anything without Supervision
Segment Anything without Supervision
Xudong Wang
Jingfeng Yang
Trevor Darrell
VLM
45
10
0
28 Jun 2024
Mixup Augmentation with Multiple Interpolations
Mixup Augmentation with Multiple Interpolations
Lifeng Shen
Jincheng Yu
Hansi Yang
James T. Kwok
36
0
0
03 Jun 2024
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
Rishav Pramanik
José-Fabian Villa-Vásquez
M. Pedersoli
OCL
50
0
0
30 Apr 2024
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection
  and Discovery
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
Matthew J. Inkawhich
Nathan Inkawhich
Hao Yang
Jingyang Zhang
Randolph Linderman
Yiran Chen
ObjD
50
0
0
16 Apr 2024
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT
  Descriptors
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
Saksham Suri
Matthew Walmer
Kamal Gupta
Abhinav Shrivastava
51
4
0
21 Mar 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and
  Visual Correspondence
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sung‐Jin Hong
Seokju Cho
Seungryong Kim
Stephen Lin
ViT
56
5
0
17 Mar 2024
Debiased Novel Category Discovering and Localization
Debiased Novel Category Discovering and Localization
Juexiao Feng
Yuhong Yang
Yanchun Xie
Yaqian Li
Yandong Guo
Yuchen Guo
Yuwei He
Liuyu Xiang
Guiguang Ding
ObjD
22
4
0
29 Feb 2024
PANDAS: Prototype-based Novel Class Discovery and Detection
PANDAS: Prototype-based Novel Class Discovery and Detection
Tyler L. Hayes
César R. de Souza
Namil Kim
Jiwon Kim
Riccardo Volpi
Diane Larlus
ObjD
50
2
0
27 Feb 2024
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf
  Vision-Language Models
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
Jiayun Luo
Siddhesh Khandelwal
Leonid Sigal
Boyang Albert Li
MLLM
VLM
40
7
0
28 Nov 2023
Efficient Semantic Matching with Hypercolumn Correlation
Efficient Semantic Matching with Hypercolumn Correlation
Seungwook Kim
Juhong Min
Minsu Cho
42
3
0
07 Nov 2023
Leveraging Image Augmentation for Object Manipulation: Towards
  Interpretable Controllability in Object-Centric Learning
Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
Jinwoo Kim
Janghyuk Choi
Jaehyun Kang
Changyeon Lee
Ho-Jin Choi
Seon Joo Kim
OCL
40
0
0
13 Oct 2023
Unsupervised Object Localization with Representer Point Selection
Unsupervised Object Localization with Representer Point Selection
Yeonghwan Song
Seokwoo Jang
Dina Katabi
Jeany Son
3DPC
34
3
0
08 Sep 2023
Box-based Refinement for Weakly Supervised and Unsupervised Localization
  Tasks
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
Eyal Gomel
Tal Shaharabany
Lior Wolf
ObjD
34
3
0
07 Sep 2023
Rethinking the Localization in Weakly Supervised Object Localization
Rethinking the Localization in Weakly Supervised Object Localization
Rui Xu
Yong Luo
Han Hu
Bo Du
Jialie Shen
Yonggang Wen
WSOL
40
3
0
11 Aug 2023
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and Segmentation
Xinyu Zhang
Abdeslam Boularias
36
5
0
25 Jul 2023
Learning Space-Time Semantic Correspondences
Learning Space-Time Semantic Correspondences
Du Tran
Jitendra Malik
27
0
0
16 Jun 2023
FreePoint: Unsupervised Point Cloud Instance Segmentation
FreePoint: Unsupervised Point Cloud Instance Segmentation
Zhikai Zhang
Jian Ding
Li Jiang
Dengxin Dai
Guisong Xia
3DPC
55
6
0
11 May 2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature
  Learning
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
Matthias Lalisse
Kai Han
Xingchen Wan
P. Smolensky
54
3
0
03 May 2023
MOST: Multiple Object localization with Self-supervised Transformers for
  object discovery
MOST: Multiple Object localization with Self-supervised Transformers for object discovery
Sai Saketh Rambhatla
Ishan Misra
Rama Chellappa
Abhinav Shrivastava
29
10
0
11 Apr 2023
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D
  Videos
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu
Yunfu Deng
Abdeslam Boularias
Kostas Bekris
VOS
29
0
0
09 Apr 2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric
  Learning
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Jinwoo Kim
Janghyuk Choi
Ho-Jin Choi
Seon Joo Kim
OCL
VLM
32
14
0
31 Mar 2023
Cut and Learn for Unsupervised Object Detection and Instance
  Segmentation
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
66
162
0
26 Jan 2023
Image Segmentation-based Unsupervised Multiple Objects Discovery
Image Segmentation-based Unsupervised Multiple Objects Discovery
Sandra Kara
Hejer Ammar
Florian Chabot
Q. C. Pham
OCL
32
6
0
20 Dec 2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
44
2
0
24 Oct 2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous
  Driving
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
Mahyar Najibi
Jingwei Ji
Yin Zhou
C. Qi
Xinchen Yan
Scott Ettinger
Drago Anguelov
41
62
0
14 Oct 2022
Novel 3D Scene Understanding Applications From Recurrence in a Single
  Image
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
Shimian Zhang
Skanda Bharadwaj
Keaton Kraiger
Yashasvi Asthana
Hong Zhang
R. Collins
Yanxi Liu
38
1
0
14 Oct 2022
MOVE: Unsupervised Movable Object Segmentation and Detection
MOVE: Unsupervised Movable Object Segmentation and Detection
Adam Bielski
Paolo Favaro
OCL
25
20
0
14 Oct 2022
Neural Matching Fields: Implicit Representation of Matching Fields for
  Visual Correspondence
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Sung‐Jin Hong
Jisu Nam
Seokju Cho
Susung Hong
Sangryul Jeon
Dongbo Min
Seung Wook Kim
3DV
24
16
0
06 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer
Max Horn
Andrii Zadaianchuk
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
52
140
0
29 Sep 2022
A Simple and Powerful Global Optimization for Unsupervised Video Object
  Segmentation
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Georgy Ponimatkin
Nermin Samet
Yanghua Xiao
Yuming Du
Renaud Marlet
Vincent Lepetit
VOS
74
20
0
19 Sep 2022
Integrative Feature and Cost Aggregation with Transformers for Dense
  Correspondence
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
Sunghwan Hong
Seokju Cho
Seung Wook Kim
Stephen Lin
3DV
47
4
0
19 Sep 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
51
11
0
15 Sep 2022
TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut
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
47
78
0
01 Sep 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open World
Matthew J. Inkawhich
Nathan Inkawhich
H. Li
Yiran Chen
37
2
0
23 Aug 2022
Automatic dense annotation of large-vocabulary sign language videos
Automatic dense annotation of large-vocabulary sign language videos
Liliane Momeni
Hannah Bull
Prajwal K R
Samuel Albanie
Gül Varol
Andrew Zisserman
SLR
32
18
0
04 Aug 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
48
19
0
25 Jul 2022
TransforMatcher: Match-to-Match Attention for Semantic Correspondence
TransforMatcher: Match-to-Match Attention for Semantic Correspondence
Seungwook Kim
Juhong Min
Minsu Cho
ViT
54
32
0
23 May 2022
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
40
160
0
16 May 2022
Towards Open-Set Object Detection and Discovery
Towards Open-Set Object Detection and Discovery
Jiyang Zheng
Weihao Li
Jie Hong
L. Petersson
Nick Barnes
ObjD
41
61
0
12 Apr 2022
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Yurong You
Katie Z Luo
Cheng Perng Phoo
Wei-Lun Chao
Wen Sun
Bharath Hariharan
M. Campbell
Kilian Q. Weinberger
20
41
0
29 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
FreeSOLO: Learning to Segment Objects without Annotations
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang
Zhiding Yu
Shalini De Mello
Jan Kautz
Anima Anandkumar
Chunhua Shen
J. Álvarez
ISeg
SSeg
42
112
0
24 Feb 2022
ASOC: Adaptive Self-aware Object Co-localization
ASOC: Adaptive Self-aware Object Co-localization
Koteswar Rao Jerripothula
Prerana Mukherjee
WSOL
25
3
0
27 Jan 2022
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee
Teakgyu Hong
Han-Cheol Cho
Junbum Cha
Seungryong Kim
SSL
12
0
0
21 Nov 2021
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Xi Shen
Alexei A. Efros
Armand Joulin
Mathieu Aubry
24
11
0
29 Oct 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
180
196
0
29 Sep 2021
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