ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03148
  4. Cited By
Unsupervised Image Matching and Object Discovery as Optimization

Unsupervised Image Matching and Object Discovery as Optimization

5 April 2019
Huy V. Vo
Francis R. Bach
Minsu Cho
Kai Han
Yann LeCun
P. Pérez
Jean Ponce
    OCL
ArXivPDFHTML

Papers citing "Unsupervised Image Matching and Object Discovery as Optimization"

45 / 45 papers shown
Title
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
34
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
39
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
35
9
0
09 Aug 2024
Segment Anything without Supervision
Segment Anything without Supervision
Xudong Wang
Jingfeng Yang
Trevor Darrell
VLM
35
10
0
28 Jun 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
Shengcao Cao
Jiuxiang Gu
Jason Kuen
Hao Tan
Ruiyi Zhang
Handong Zhao
A. Nenkova
Liangyan Gui
Tong Sun
Yu-Xiong Wang
VLM
OCL
33
3
0
18 Apr 2024
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
Shengcao Cao
Dhiraj Joshi
Liangyan Gui
Yu-Xiong Wang
19
11
0
05 Feb 2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive
  Grouping
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
Xin Zhang
Jinheng Xie
Yuan. Yuan
Michael Bi Mi
Robby T. Tan
VOS
OCL
VLM
57
2
0
29 Dec 2023
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
27
7
0
28 Nov 2023
The Background Also Matters: Background-Aware Motion-Guided Objects
  Discovery
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
Sandra Kara
Hejer Ammar
Florian Chabot
Quoc-Cuong Pham
22
3
0
05 Nov 2023
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A
  Survey
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
Oriane Siméoni
Éloi Zablocki
Spyros Gidaris
Gilles Puy
Patrick Pérez
24
10
0
19 Oct 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
24
3
0
07 Sep 2023
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Yun-Qiu Lv
Jing Zhang
Nick Barnes
Yuchao Dai
21
11
0
07 Jul 2023
FLSL: Feature-level Self-supervised Learning
FLSL: Feature-level Self-supervised Learning
Qing Su
Anton Netchaev
Hai Helen Li
Shihao Ji
22
4
0
09 Jun 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
21
10
0
11 Apr 2023
What's in a Name? Beyond Class Indices for Image Recognition
What's in a Name? Beyond Class Indices for Image Recognition
Kai Han
Yandong Li
S. Vaze
Jie Li
Xuhui Jia
VLM
19
7
0
05 Apr 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
14
6
0
20 Dec 2022
Unsupervised Object Localization: Observing the Background to Discover
  Objects
Unsupervised Object Localization: Observing the Background to Discover Objects
Oriane Siméoni
Chloé Sekkat
Gilles Puy
Antonín Vobecký
Éloi Zablocki
Patrick Pérez
OCL
SSL
26
51
0
15 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
26
2
0
24 Oct 2022
Learning to Discover and Detect Objects
Learning to Discover and Detect Objects
V. Fomenko
Ismail Elezi
Deva Ramanan
Laura Leal-Taixé
Aljosa Osep
ObjD
31
10
0
19 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
28
62
0
14 Oct 2022
MOVE: Unsupervised Movable Object Segmentation and Detection
MOVE: Unsupervised Movable Object Segmentation and Detection
Adam Bielski
Paolo Favaro
OCL
16
20
0
14 Oct 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
72
20
0
19 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
15
76
0
01 Sep 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
25
19
0
25 Jul 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
28
159
0
16 May 2022
Loss Function Entropy Regularization for Diverse Decision Boundaries
Loss Function Entropy Regularization for Diverse Decision Boundaries
S. Chong
17
2
0
30 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
14
41
0
29 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
19
111
0
24 Feb 2022
SparseDet: Improving Sparsely Annotated Object Detection with
  Pseudo-positive Mining
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
Saksham Suri
Sai Saketh Rambhatla
Rama Chellappa
Abhinav Shrivastava
ObjD
22
11
0
12 Jan 2022
Community Detection in Medical Image Datasets: Using Wavelets and
  Spectral Methods
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods
Roozbeh Yousefzadeh
12
0
0
22 Dec 2021
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
18
22
0
01 Dec 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
11
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
170
196
0
29 Sep 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
12
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
14
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
17
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
11
53
0
29 Apr 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
22
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
25
9
0
25 Nov 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
11
74
0
06 Jul 2020
Using Wavelets and Spectral Methods to Study Patterns in
  Image-Classification Datasets
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets
Roozbeh Yousefzadeh
Furong Huang
11
6
0
17 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
8
11
0
22 Mar 2020
Using Wavelets to Analyze Similarities in Image-Classification Datasets
Using Wavelets to Analyze Similarities in Image-Classification Datasets
Roozbeh Yousefzadeh
11
0
0
24 Feb 2020
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
10
760
0
13 Nov 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
14
57
0
27 May 2019
1