SOTAVerified

Unsupervised Semantic Segmentation

Models that learn to segment each image (i.e. assign a class to every pixel) without seeing the ground truth labels.

( Image credit: SegSort: Segmentation by Discriminative Sorting of Segments )

Papers

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Showing 51–95 of 95 papers

TitleStatusHype
Mumford-Shah Loss Functional for Image Segmentation with Deep LearningCode1
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
Deep Clustering for Unsupervised Learning of Visual FeaturesCode1
Federated Unsupervised Semantic Segmentation—0
Hierarchical Context Learning of object components for unsupervised semantic segmentationCode0
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing—0
GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel ClusteringCode0
ULTra: Unveiling Latent Token Interpretability in Transformer Based Understanding—0
Unsupervised semantic segmentation of urban high-density multispectral point clouds—0
CUS3D :CLIP-based Unsupervised 3D Segmentation via Object-level Denoise—0
Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features—0
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial ContinuityCode0
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation—0
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene ParsingCode0
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision TransformerCode0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation—0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications—0
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation—0
Removing supervision in semantic segmentation with local-global matching and area balancingCode0
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive AffinityCode0
Network-Free, Unsupervised Semantic Segmentation With Synthetic Images—0
Extracting Semantic Knowledge from GANs with Unsupervised Learning—0
Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation—0
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationCode0
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks—0
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation—0
Latent Space Unsupervised Semantic Segmentation—0
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation—0
Self-supervised Semantic Segmentation Grounded in Visual Concepts—0
Fully Self-Supervised Learning for Semantic Segmentation—0
Disentangled Latent Transformer for Interpretable Monocular Height Estimation—0
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster AssignmentCode0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization—0
Level generation and style enhancement -- deep learning for game development overview—0
Segmentation of VHR EO Images using Unsupervised Learning—0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization—0
SegSort: Segmentation by Discriminative Sorting of SegmentsCode0
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All datasetsCOCO-Stuff-27Cityscapes testPASCAL VOC 2012 valPotsdam-3COCO-Stuff-3ImageNet-S-50COCO-Stuff-171COCO-Stuff-81SUIMCOCO-Stuff-15ACDC (Adverse Conditions Dataset with Correspondences)Cityscapes val

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SGSegClustering [Accuracy]55.7—Unverified
2DynaSeg - FSF (ResNet-18 FPN)Clustering [mIoU]54.1—Unverified
3SANClustering [Accuracy]52—Unverified
4DiffCutClustering [mIoU]49.1—Unverified
5PiCIEClustering [Accuracy]48.1—Unverified
6HCL (ViT-S/8)Linear Classifier [mIoU]47.4—Unverified
7HCL (ViT-S/16)Linear Classifier [mIoU]45.8—Unverified
8CAUSE (DINOv2, ViT-B/14)Clustering [mIoU]45.3—Unverified
9Ours (SlotCon)Clustering [Accuracy]42.36—Unverified
10CAUSE (ViT-B/8)Clustering [mIoU]41.9—Unverified
#ModelMetricClaimedVerifiedStatus
1GraPixPixel Accuracy64.89—Unverified
2CUPSmIoU26.8—Unverified
3ViCEmIoU25.2—Unverified
4EAGLE (DINO, ViT-B/8)mIoU22.1—Unverified
5EQUSSmIoU22—Unverified
6PriMaPs-EM + STEGO (DINO ViT-B/8)mIoU21.6—Unverified
7STEGOmIoU21—Unverified
8EAGLE (DINO, ViT-S/8)mIoU19.7—Unverified
9PriMaPs-EM (DINO ViT-S/8)mIoU19.4—Unverified
10HPmIoU18.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAUSE (iBOT, ViT-B/16)Clustering [mIoU]53.4—Unverified
2CAUSE (ViT-B/8)Clustering [mIoU]53.3—Unverified
3CAUSE (DINOv2, ViT-B/14)Clustering [mIoU]53.2—Unverified
4MaskDistill+CRFClustering [mIoU]48.9—Unverified
5Leopart (ViT-B/8)Clustering [mIoU]47.2—Unverified
6HCL (ViT-S/8)Clustering [mIoU]46.3—Unverified
7MaskDistillClustering [mIoU]45.8—Unverified
8MaskContrast (Saliency)Clustering [mIoU]44.2—Unverified
9HCL (ViT-S/16)Clustering [mIoU]43.2—Unverified
10Leopart (ViT-S/16)Clustering [mIoU]41.7—Unverified
#ModelMetricClaimedVerifiedStatus
1EAGLE (DINO, ViT-B/8)Accuracy83.3—Unverified
2PriMaPs-EM+HP (DINO ViT-B/8)Accuracy83.3—Unverified
3HPAccuracy82.4—Unverified
4EQUSSAccuracy82—Unverified
5PriMaPs-EM (DINO ViT-B/8)Accuracy80.5—Unverified
6STEGOAccuracy77—Unverified
7InfoSegPixel Accuracy71.6—Unverified
8IICAccuracy45.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SANPixel Accuracy80.3—Unverified
2SGSegPixel Accuracy74.6—Unverified
3InfoSegPixel Accuracy73.8—Unverified
4InMARSPixel Accuracy73.1—Unverified
5ACPixel Accuracy72.9—Unverified
6IICPixel Accuracy72.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PASS (+Saliency map)mIoU (test)42.3—Unverified
2PASSmIoU (test)32—Unverified
3MaskContrast (+Saliency map)mIoU (test)24.2—Unverified
4PiCIE (Supervised pretrain)mIoU (test)17.6—Unverified
5MDC (Supervised pretrain)mIoU (test)14.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CAUSE-TR (ViT-S/8)mIoU15.2—Unverified
2TransFGU (ViT-S/8)mIoU11.93—Unverified
3PiCIE (ResNet-50)mIoU5.6—Unverified
4IIC (ResNet-50)mIoU2.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CAUSE-TR (ViT-S/8)mIoU21.2—Unverified
2CAUSE-MLP (ViT-S/8)mIoU19.1—Unverified
3TransFGU (ViT-S/8)mIoU12.7—Unverified
4MaskContrast (ResNet-50)mIoU3.7—Unverified
#ModelMetricClaimedVerifiedStatus
1DatUS (ViT-B/8) + OCPixel Accuracy69.98—Unverified
2GraPix + AUTPixel Accuracy65.48—Unverified
3DatUS (ViT-B/8)Pixel Accuracy64.67—Unverified
4GraPixPixel Accuracy64.06—Unverified
#ModelMetricClaimedVerifiedStatus
1InfoSegPixel Accuracy38.8—Unverified
2InMARSPixel Accuracy31—Unverified
3IICPixel Accuracy27.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Segmenter ViT-S/16mIoU16.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Segmenter ViT-S/16mIoU21.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DenseSiammIoU16.4—Unverified
#ModelMetricClaimedVerifiedStatus
1InfoSegPixel Accuracy69.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Segmenter ViT-S/16mIoU14.2—Unverified
#ModelMetricClaimedVerifiedStatus
1PASSmIoU (test)11—Unverified
#ModelMetricClaimedVerifiedStatus
1PASSmIoU (test)18.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Segmenter ViT-S/16mIoU18.9—Unverified