Unsupervised Semantic Segmentation
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Benchmarks
COCO-Stuff-27
Cityscapes test
PASCAL VOC 2012 val
Potsdam-3
COCO-Stuff-3
ImageNet-S-50
COCO-Stuff-171
COCO-Stuff-81
SUIM
COCO-Stuff-15
COCO-All
COCO-Persons
Cityscapes val
Dark Zurich
ImageNet-S
ImageNet-S-300
Nighttime Driving
Most implemented
Deep Clustering for Unsupervised Learning of Visual Features
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Large-scale Unsupervised Semantic Segmentation
Unsupervised Universal Image Segmentation
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Papers
UMSS: Towards Unsupervised Multi-modal Semantic Segmentation
Multimodal semantic segmentation (MSS) is essential for robust perception in complex environments, yet its potential remains largely untapped because of the prohibitive cost of human annotations. While unsupervised seman…
Unsupervised Semantic SegmentationUnsupervised Semantic Segmentation Facilitates Model Understanding
Self-supervised learning (SSL) has produced a diverse landscape of vision transformers (ViTs) whose pretrained representations support a wide range of downstream tasks. Towards a better understanding of these models, a b…
Unsupervised Semantic SegmentationSelf-Supervised LearningContrastive LearningP-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning
Current semantic segmentation approaches for point cloud scenes heavily rely on manual labeling, while research on unsupervised semantic segmentation methods specifically for raw point clouds is still in its early stages…
Unsupervised Semantic SegmentationPoint CloudsUnsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels
X-ray computed tomography (CT) is a widely used imaging technique that provides detailed examinations into the internal structure of an object with synchrotron CT (SR-CT) enabling improved data quality by using higher en…
Unsupervised Semantic SegmentationDynaGuide: A Generalizable Dynamic Guidance Framework for Unsupervised Semantic Segmentation
Unsupervised image segmentation is a critical task in computer vision. It enables dense scene understanding without human annotations, which is especially valuable in domains where labelled data is scarce. However, exist…
Unsupervised Semantic SegmentationScene UnderstandingImage SegmentationDiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF
3D semantic segmentation provides high-level scene understanding for applications in robotics, autonomous systems, \textit{etc}. Traditional methods adapt exclusively to either task-specific goals (open-vocabulary segmen…
Unsupervised Semantic Segmentation3D Semantic SegmentationScene Understanding