Unsupervised Semantic Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

18 leaderboard tables shown for this task, 18 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 18 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 65 papers with code (95 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.

• Deep Clustering for Unsupervised Learning of Visual Features
  15 Jul 2018 9 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 4 pointer-only (licence)
  In this work, we present DeepCluster, a clustering method that jointly learns the parameters of a neural network and the cluster assignments of the resulting features.
• Invariant Information Clustering for Unsupervised Image Classification and Segmentation
  17 Jul 2018 6 repositories listed Syntology ran 2 of 18 samples · 16 unverified
  The method is not specialised to computer vision and operates on any paired dataset samples; in our experiments we use random transforms to obtain a pair from each image.
• Unsupervised Semantic Segmentation by Distilling Feature Correspondences
  16 Mar 2022 3 repositories listed Syntology ran 8 of 14 samples · 6 unverified
  Unsupervised semantic segmentation aims to discover and localize semantically meaningful categories within image corpora without any form of annotation.
• Large-scale Unsupervised Semantic Segmentation
  6 Jun 2021 3 repositories listed
  In this work, we propose a new problem of large-scale unsupervised semantic segmentation (LUSS) with a newly created benchmark dataset to help the research progress.
• 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.
• CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
  23 Mar 2023 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified
  More importantly, the clustering algorithm conjointly operates on the features of both views, thereby elegantly bypassing the issue of content not represented in both views and the ambiguous matching of objects from one…
• SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters
  14 Mar 2023 2 repositories listed
  Our new PerimeterFit module will be applied to pre-refine the CAM predictions before using the pixel-similarity-based network.
• ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images
  14 Mar 2023 2 repositories listed
  Weakly Supervised Semantic Segmentation (WSSS) relying only on image-level supervision is a promising approach to deal with the need for Segmentation networks, especially for generating a large number of pixel-wise…
• Perceptual Grouping in Contrastive Vision-Language Models
  18 Oct 2022 2 repositories listed
  In this work we examine how well vision-language models are able to understand where objects reside within an image and group together visually related parts of the imagery.
• What the DAAM: Interpreting Stable Diffusion Using Cross Attention
  10 Oct 2022 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses.
• ReCo: Retrieve and Co-segment for Zero-shot Transfer
  14 Jun 2022 2 repositories listed
  Semantic segmentation has a broad range of applications, but its real-world impact has been significantly limited by the prohibitive annotation costs necessary to enable deployment.
• PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
  30 Mar 2021 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 1 pointer-only (licence)
  With our novel learning objective, our framework can learn high-level semantic concepts.
• Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
  11 Feb 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  To achieve this, we introduce a two-step framework that adopts a predetermined mid-level prior in a contrastive optimization objective to learn pixel embeddings.
• Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
  8 Mar 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)
  This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic segmentation.
• Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
  5 Apr 2019 2 repositories listed
  This loss function is based on the observation that the softmax layer of deep neural networks has striking similarity to the characteristic function in the Mumford-Shah functional.
• Urban1960SatSeg: Unsupervised Semantic Segmentation of Mid-20ᵗʰ century Urban Landscapes with Satellite Imageries
  11 Jun 2025 1 repository listed
  First, Urban1960SatBench serves as a novel, expertly annotated semantic segmentation dataset built on mid-20ᵗʰ century Keyhole imagery, covering 1, 240 km² and key urban classes (buildings, roads, farmland, water).
• LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
  9 Jun 2025 1 repository listed
  We study the problem of unsupervised 3D semantic segmentation on raw point clouds without needing human labels in training.
• Hierarchical Context Learning of object components for unsupervised semantic segmentation
  29 Apr 2025 1 repository listed
  Based on this insight, we introduce Hierarchical Context Learning (HCL), a novel approach for USS that enhances semantic consistency by integrating hierarchical context.
• Scene-Centric Unsupervised Panoptic Segmentation
  2 Apr 2025 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  Unsupervised panoptic segmentation aims to partition an image into semantically meaningful regions and distinct object instances without training on manually annotated data.
• COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
  14 Mar 2025 1 repository listed
  Cell instance segmentation (CIS) is crucial for identifying individual cell morphologies in histopathological images, providing valuable insights for biological and medical research.
• GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering
  4 Dec 2024 1 repository listed
  In this paper, we propose a novel end-to-end unsupervised learning method called GraPix, which utilizes the hidden property of patch embeddings extracted from a self-supervised vision transformer for the dense semantic…
• iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
  5 Sep 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Leveraging the entropy-reduced self-attention module, our iSeg stably improves refined cross-attention map with iterative refinement.
• ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
  13 Aug 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  In this paper, we propose to explicitly model and rectify the bias existing in CLIP to facilitate the unsupervised semantic segmentation task.
• Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
  17 Jul 2024 1 repository listed
  Then, considering the distribution of positive samples, we relocate the proxy anchor towards areas with a higher concentration of positives and adjust the positiveness boundary based on the propagation degree of the…
• Deep ContourFlow: Advancing Active Contours with Deep Learning
  15 Jul 2024 1 repository listed
  This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation.
• 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.
• 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.
• Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
  25 Apr 2024 1 repository listed
  Unsupervised semantic segmentation aims to automatically partition images into semantically meaningful regions by identifying global semantic categories within an image corpus without any form of annotation.
• EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
  3 Mar 2024 1 repository listed Syntology ran 14 of 19 samples · 5 unverified
  Semantic segmentation has innately relied on extensive pixel-level annotated data, leading to the emergence of unsupervised methodologies.
• Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing
  5 Feb 2024 1 repository listed
  There are two challenges presented in parsing road scenes from UAV images: the complexity of processing high-resolution images and the dependency on extensive manual annotations required by traditional supervised deep…

Syntology lines on 14 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.