Unsupervised Image Segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (61 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• W-Net: A Deep Model for Fully Unsupervised Image Segmentation
  22 Nov 2017 11 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  While significant attention has been recently focused on designing supervised deep semantic segmentation algorithms for vision tasks, there are many domains in which sufficient supervised pixel-level labels are…
• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
  23 Sep 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Segmenting medical images is critical to facilitating both patient diagnoses and quantitative research.
• Unsupervised Universal Image Segmentation
  28 Dec 2023 2 repositories listed Syntology ran 13 of 15 samples · 2 unverified
  Several unsupervised image segmentation approaches have been proposed which eliminate the need for dense manually-annotated segmentation masks; current models separately handle either semantic segmentation (e.
• Improving Object-centric Learning with Query Optimization
  17 Oct 2022 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  The ability to decompose complex natural scenes into meaningful object-centric abstractions lies at the core of human perception and reasoning.
• GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
  20 Apr 2021 2 repositories listed
  Moreover, object representations are often inferred using RNNs which do not scale well to large images or iterative refinement which avoids imposing an unnatural ordering on objects in an image but requires the a priori…
• Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
  20 Jul 2020 2 repositories listed
  The usage of convolutional neural networks (CNNs) for unsupervised image segmentation was investigated in this study.
• GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
  30 Jul 2019 2 repositories listed
  Generative latent-variable models are emerging as promising tools in robotics and reinforcement learning.
• UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters
  8 Oct 2024 1 repository listed
  The data-hungry approach of supervised classification drives the interest of the researchers toward unsupervised approaches, especially for problems such as medical image segmentation, where labeled data are difficult…
• DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images
  4 Oct 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The proliferation of digital microscopy images, driven by advances in automated whole slide scanning, presents significant opportunities for biomedical research and clinical diagnostics.
• Attention Normalization Impacts Cardinality Generalization in Slot Attention
  4 Jul 2024 1 repository listed
  Object-centric scene decompositions are important representations for downstream tasks in fields such as computer vision and robotics.
• SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
  12 Jun 2024 1 repository listed
  Recent developments in self-supervised learning (SSL) have made it possible to learn data representations without the need for annotations.
• DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
  5 Jun 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Foundation models have emerged as powerful tools across various domains including language, vision, and multimodal tasks.
• Qubit-efficient Variational Quantum Algorithms for Image Segmentation
  23 May 2024 1 repository listed
  Quantum computing is expected to transform a range of computational tasks beyond the reach of classical algorithms.
• DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity
  9 May 2024 1 repository listed
  We provide qualitative and quantitative results on five benchmark datasets, demonstrating the efficacy of the proposed approach.
• UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
  9 May 2024 1 repository listed
  Image segmentation, the process of partitioning an image into meaningful regions, plays a pivotal role in computer vision and medical imaging applications.
• Deep Gaussian mixture model for unsupervised image segmentation
  18 Apr 2024 1 repository listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  The recent emergence of deep learning has led to a great deal of work on designing supervised deep semantic segmentation algorithms.
• Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
  21 Nov 2023 1 repository listed
  We present Q-Seg, a novel unsupervised image segmentation method based on quantum annealing, tailored for existing quantum hardware.
• Unsupervised Camouflaged Object Segmentation as Domain Adaptation
  8 Aug 2023 1 repository listed
  To this end, we formulate the UCOS as a source-free unsupervised domain adaptation task (UCOS-DA), where both source labels and target labels are absent during the whole model training process.
• SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
  29 Mar 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Several variants of variational autoencoders (VAEs) have been proposed to learn compact data representations by encoding high-dimensional data in a lower dimensional space.
• Self-Supervised Learning of Object Parts for Semantic Segmentation
  27 Apr 2022 1 repository listed Syntology ran 5 of 9 samples · 4 unverified
  However, learning dense representations is challenging, as in the unsupervised context it is not clear how to guide the model to learn representations that correspond to various potential object categories.
• Unsupervised Deep Learning Meets Chan-Vese Model
  14 Apr 2022 1 repository listed
  The Chan-Vese (CV) model is a classic region-based method in image segmentation.
• RAMA: A Rapid Multicut Algorithm on GPU
  4 Sep 2021 1 repository listed
  We propose a highly parallel primal-dual algorithm for the multicut (a.
• Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning
  14 Apr 2021 1 repository listed
  Hyperspectral stimulated Raman scattering (SRS) microscopy is a label-free technique for biomedical and mineralogical imaging which can suffer from low signal to noise ratios.
• Information-Theoretic Segmentation by Inpainting Error Maximization
  14 Dec 2020 1 repository listed
  We study image segmentation from an information-theoretic perspective, proposing a novel adversarial method that performs unsupervised segmentation by partitioning images into maximally independent sets.
• Autoregressive Unsupervised Image Segmentation
  16 Jul 2020 1 repository listed
  In this work, we propose a new unsupervised image segmentation approach based on mutual information maximization between different constructed views of the inputs.
• Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
  28 Feb 2019 1 repository listed
  Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.