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Unsupervised Semantic Segmentation On

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper Title
CAUSE (DINOv2, ViT-B/14)29.9Causal Unsupervised Semantic Segmentation
CAUSE (ViT-B/8)28.0Causal Unsupervised Semantic Segmentation
ViCE25.2ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
EAGLE (DINO, ViT-B/8)22.1EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
EQUSS22.0Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
PriMaPs-EM + STEGO (DINO ViT-B/8)21.6Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
STEGO21.0Unsupervised Semantic Segmentation by Distilling Feature Correspondences
EAGLE (DINO, ViT-S/8)19.7EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
PriMaPs-EM (DINO ViT-S/8)19.4Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
HP18.4Leveraging Hidden Positives for Unsupervised Semantic Segmentation
GraPix + AUT14.54GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering
Grapix14.33GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering
PiCIE12.3PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
MDC7.1Deep Clustering for Unsupervised Learning of Visual Features
GraPix-GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering
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Unsupervised Semantic Segmentation On | SOTA | HyperAI