OpenCodePapers
image-clustering-on-imagenet
Image Clustering
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Paper
Code
Accuracy
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NMI
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ARI
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ModelName
ReleaseDate
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Let Go of Your Labels with Unsupervised Transfer
✓ Link
72.9
88.2
62.5
TURTLE (CLIP + DINOv2)
2024-06-11
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
✓ Link
67.3
87.2
42.2
MIM-Refiner (D2V2-ViT-H/14)
2024-02-15
Exploring a Principled Framework for Deep Subspace Clustering
✓ Link
65.0
83.4
PRO-DSC
2025-03-21
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
✓ Link
64.6
85.3
45.5
MIM-Refiner (MAE-ViT-H/14)
2024-02-15
Exploring the Limits of Deep Image Clustering using Pretrained Models
✓ Link
61.6
82.5
48.4
TEMI MSN (ViT-L)
2023-03-31
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
✓ Link
58.0
81.8
MAE-CT (ViT-H/16 best)
2023-04-20
Exploring the Limits of Deep Image Clustering using Pretrained Models
✓ Link
58.0
81.4
45.9
TEMI DINO (ViT-B)
2023-03-31
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
✓ Link
57.1
81.7
MAE-CT (ViT-H/16 mean)
2023-04-20
Stable Cluster Discrimination for Deep Clustering
✓ Link
53.5
79.4
41.9
SeCu
2023-11-24
Stable Cluster Discrimination for Deep Clustering
✓ Link
47.6
76.2
35.6
CoKe
2023-11-24
SCAN: Learning to Classify Images without Labels
✓ Link
39.9
72.0
SCAN
2020-05-25
Self-labelling via simultaneous clustering and representation learning
✓ Link
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66.4
SeLa
2019-11-13