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Deep Clustering for Unsupervised Learning of Visual Features

Deep Clustering for Unsupervised Learning of Visual Features

15 July 2018
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
    SSL
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Papers citing "Deep Clustering for Unsupervised Learning of Visual Features"

50 / 404 papers shown
Title
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
Dengyang Jiang
Mengmeng Wang
Liuzhuozheng Li
Lei Zhang
Haoyu Wang
Wei Wei
Guang Dai
Yanning Zhang
Jingdong Wang
DiffM
51
0
0
05 May 2025
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Theodoros Kouzelis
Efstathios Karypidis
Ioannis Kakogeorgiou
Spyros Gidaris
N. Komodakis
DiffM
45
0
0
22 Apr 2025
Cost-Effective Text Clustering with Large Language Models
Cost-Effective Text Clustering with Large Language Models
Hongtao Wang
Taiyan Zhang
Renchi Yang
Jianliang Xu
40
0
0
22 Apr 2025
Impact of Language Guidance: A Reproducibility Study
Impact of Language Guidance: A Reproducibility Study
Cherish Puniani
Advika Sinha
Shree Singhi
Aayan Yadav
VLM
52
0
0
10 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
45
1
0
02 Apr 2025
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Imanol G. Estepa
Jesús M. Rodríguez-de-Vera
Ignacio Sarasúa
Bhalaji Nagarajan
Petia Radeva
59
0
0
19 Mar 2025
TULIP: Towards Unified Language-Image Pretraining
TULIP: Towards Unified Language-Image Pretraining
Zineng Tang
Long Lian
Seun Eisape
Xudong Wang
Roei Herzig
Adam Yala
Alane Suhr
Trevor Darrell
David M. Chan
VLM
CLIP
MLLM
103
3
0
19 Mar 2025
Implicit Contrastive Representation Learning with Guided Stop-gradient
Byeongchan Lee
Sehyun Lee
SSL
91
2
0
12 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
76
0
0
12 Mar 2025
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
Xin Wen
Bingchen Zhao
Yilun Chen
Jiangmiao Pang
Xiaojuan Qi
LM&Ro
51
0
0
10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
92
0
0
09 Mar 2025
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset
Jiahao Qi
Chuanhong Zhou
Xingyue Liu
Chen Chen
Dehui Zhu
Kangcheng Bin
Ping Zhong
74
0
0
21 Feb 2025
Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization
Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization
Zhongwei Chen
Zhao-Xu Yang
Hai-Jun Rong
SSL
61
1
0
17 Feb 2025
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Hongyu Qu
Jianan Wei
Xiangbo Shu
Wenguan Wang
VLM
56
1
0
10 Feb 2025
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
Yicen Li
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
Paul D. McNicholas
VLM
100
0
0
06 Feb 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
J. Vankerschaver
59
0
0
28 Jan 2025
With Great Backbones Comes Great Adversarial Transferability
With Great Backbones Comes Great Adversarial Transferability
Erik Arakelyan
Karen Hambardzumyan
Davit Papikyan
Pasquale Minervini
Albert Gordo
Isabelle Augenstein
Aram H. Markosyan
AAML
75
0
0
21 Jan 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
285
0
0
21 Jan 2025
Label Calibration in Source Free Domain Adaptation
Label Calibration in Source Free Domain Adaptation
Shivangi Rai
Rini Smita Thakur
Kunal Jangid
Vinod K. Kurmi
UQCV
58
1
0
13 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Duy M. Nguyen
Hasan Md Tusfiqur Alam
Trung Quoc Nguyen
Devansh Srivastav
H. Profitlich
Ngan Le
Daniel Sonntag
49
2
0
07 Jan 2025
Text Clustering as Classification with LLMs
Text Clustering as Classification with LLMs
Chen Huang
Guoxiu He
44
2
0
03 Jan 2025
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Shambhavi Mishra
Julio Silva-Rodrıguez
Ismail ben Ayed
M. Pedersoli
Jose Dolz
VLM
95
1
0
26 Nov 2024
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Lukas Miklautz
Timo Klein
Kevin Sidak
Collin Leiber
Thomas Lang
Andrii Shkabrii
Sebastian Tschiatschek
Claudia Plant
47
1
0
04 Nov 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
60
1
0
30 Oct 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang
Peiyan Gu
Xueyang Yu
Xuming He
37
0
0
17 Oct 2024
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
52
3
0
07 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTA
AI4TS
55
3
0
03 Oct 2024
Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing
  with Contrastive Attention
Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing with Contrastive Attention
Guangjing Wang
Juexing Wang
Ce Zhou
Weikang Ding
Huacheng Zeng
Tianxing Li
Qiben Yan
36
0
0
01 Oct 2024
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
54
1
0
11 Sep 2024
iSeg: An Iterative Refinement-based Framework for Training-free
  Segmentation
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
Lin Sun
Jiale Cao
J. Xie
Fahad Shahbaz Khan
Yanwei Pang
DiffM
48
1
0
05 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
48
3
0
30 Aug 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
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
50
3
0
13 Aug 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
38
0
0
04 Aug 2024
Image Clustering Algorithm Based on Self-Supervised Pretrained Models
  and Latent Feature Distribution Optimization
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization
Qiuyu Zhu
Liheng Hu
Sijin Wang
SSL
VLM
34
1
0
04 Aug 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
28
2
0
22 Jul 2024
Paving the way toward foundation models for irregular and unaligned
  Satellite Image Time Series
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
Iris Dumeur
Silvia Valero
Jordi Inglada
50
3
0
11 Jul 2024
Deep Online Probability Aggregation Clustering
Deep Online Probability Aggregation Clustering
Yuxuan Yan
Na Lu
Ruofan Yan
42
1
0
07 Jul 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Chang Tian
Matthew B. Blaschko
Wenpeng Yin
Mingzhe Xing
Yinliang Yue
Marie-Francine Moens
62
2
0
18 Jun 2024
Self Pre-training with Topology- and Spatiality-aware Masked
  Autoencoders for 3D Medical Image Segmentation
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation
Pengfei Gu
Yejia Zhang
Huimin Li
Chaoli Wang
Danny Chen
MedIm
71
1
0
15 Jun 2024
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu
Hao Fei
Xiangtai Li
Jiayi Ji
Hanwang Zhang
Tat-Seng Chua
Shuicheng Yan
MLLM
65
32
0
07 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery
Towards Real-world Scenario: Imbalanced New Intent Discovery
Shun Zhang
Chaoran Yan
Jian Yang
Jing Liu
Ying Mo
Jiaqi Bai
Tongliang Li
Zheng Li
36
2
0
05 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with
  Self-Supervised Encoders
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
53
3
0
04 Jun 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
50
1
0
20 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
Edoardo Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Caccia
Alessandro Sordoni
MoMe
49
31
0
18 May 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
Siu-Ming Yiu
Qi Tian
Christian S. Jensen
AI4TS
57
7
0
15 May 2024
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image
  Segmentation Incorporating Feature Similarity and Spatial Continuity
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity
Boujemaa Guermazi
Naimul Khan
35
2
0
09 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
66
0
0
08 May 2024
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining
  BEV Segmentation Networks
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
Sophia Sirko-Galouchenko
Alexandre Boulch
Spyros Gidaris
Andrei Bursuc
Antonín Vobecký
Patrick Pérez
Renaud Marlet
3DPC
43
7
0
22 Apr 2024
RoNID: New Intent Discovery with Generated-Reliable Labels and
  Cluster-friendly Representations
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations
Shun Zhang
Chaoran Yan
Jian Yang
Changyu Ren
Jiaqi Bai
Tongliang Li
Zhoujun Li
44
1
0
13 Apr 2024
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