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Image Clustering via the Principle of Rate Reduction in the Age of
  Pretrained Models

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

8 June 2023
Tianzhe Chu
Shengbang Tong
Tianjiao Ding
Xili Dai
B. Haeffele
René Vidal
Y. Ma
    SSL
    VLM
ArXivPDFHTML

Papers citing "Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models"

15 / 15 papers shown
Title
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
Ziye Chen
Yiqun Duan
Riheng Zhu
Zhenbang Sun
Biwei Huang
40
0
0
28 Mar 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
98
0
0
06 Feb 2025
Improving Image Clustering with Artifacts Attenuation via Inference-Time
  Attention Engineering
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering
Kazumoto Nakamura
Yuji Nozawa
Yu-Chieh Lin
K. Nakata
Youyang Ng
ViT
35
1
0
07 Oct 2024
Dual-Level Cross-Modal Contrastive Clustering
Haixin Zhang
Yongjun Li
Dong Huang
VLM
39
0
0
06 Sep 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang
Huikang Liu
Druv Pai
Yaodong Yu
Zhihui Zhu
Q. Qu
Yi Ma
34
6
0
04 Jun 2024
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Nikolas Adaloglou
Félix D. P. Michels
Kaspar Senft
Diana Petrusheva
M. Kollmann
47
1
0
03 Jun 2024
Rethinking cluster-conditioned diffusion models
Rethinking cluster-conditioned diffusion models
Nikolas Adaloglou
Tim Kaiser
Félix D. P. Michels
M. Kollmann
VLM
37
3
0
01 Mar 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive
  Learning
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang
Xiang Lan
Xiaoye Qu
Yu Cheng
Mengling Feng
Bryan Hooi
SSL
24
4
0
19 Feb 2024
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
46
0
0
27 Oct 2023
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to
  Diversify Learning Data Samples
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
Xiwen Chen
Huayu Li
Rahul Amin
Abolfazl Razi
16
3
0
09 Apr 2023
Unsupervised Learning of Structured Representations via Closed-Loop
  Transcription
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Yubei Chen
Mingyang Li
Zengyi Li
Brent Yi
Yann LeCun
Y. Ma
SSL
DRL
26
7
0
30 Oct 2022
A Unified Framework for Implicit Sinkhorn Differentiation
A Unified Framework for Implicit Sinkhorn Differentiation
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Daniel Cremers
AI4CE
53
23
0
13 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
326
5,785
0
29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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