Unsupervised Semantic Segmentation on Potsdam-3

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	PriMaPs-EM+HP (DINO ViT-B/8)	83.3	No	Boosting Unsupervised Semantic Segmentation with...	2024-04-25	Code
2	EAGLE (DINO, ViT-B/8)	83.3	No	EAGLE: Eigen Aggregation Learning for Object-Cen...	2024-03-03	Code
3	HP	82.4	No	Leveraging Hidden Positives for Unsupervised Sem...	2023-03-27	Code
4	EQUSS	82	No	Expand-and-Quantize: Unsupervised Semantic Segme...	2023-12-12	-
5	PriMaPs-EM (DINO ViT-B/8)	80.5	No	Boosting Unsupervised Semantic Segmentation with...	2024-04-25	Code
6	STEGO	77	No	Unsupervised Semantic Segmentation by Distilling...	2022-03-16	Code
7	IIC	45.4	No	Invariant Information Clustering for Unsupervise...	2018-07-17	Code

#1PriMaPs-EM+HP (DINO ViT-B/8)
83.3
Accuracy· 2024-04-25
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Code
#2EAGLE (DINO, ViT-B/8)SOTA
83.3
Accuracy· 2024-03-03
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation Code
#3HPSOTA
82.4
Accuracy· 2023-03-27
Leveraging Hidden Positives for Unsupervised Semantic Segmentation Code
#4EQUSS
82
Accuracy· 2023-12-12
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
#5PriMaPs-EM (DINO ViT-B/8)
80.5
Accuracy· 2024-04-25
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Code
#6STEGOSOTA
77
Accuracy· 2022-03-16
Unsupervised Semantic Segmentation by Distilling Feature Correspondences Code
#7IICSOTA
45.4
Accuracy· 2018-07-17
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Code