Semi-Supervised Semantic Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

45 leaderboard tables shown for this task, 45 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 45 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

13 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 109 papers with code (190 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.

• Adversarial Learning for Semi-Supervised Semantic Segmentation
  22 Feb 2018 13 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We propose a method for semi-supervised semantic segmentation using an adversarial network.
• Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
  6 Mar 2017 8 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Without changing the network architecture, Mean Teacher achieves an error rate of 4.
• Semi-Supervised Semantic Segmentation with Cross-Consistency Training
  19 Mar 2020 5 repositories listed Syntology ran 10 of 20 samples · 10 unverified
  To leverage the unlabeled examples, we enforce a consistency between the main decoder predictions and those of the auxiliary decoders, taking as inputs different perturbed versions of the encoder's output, and…
• Semi-supervised semantic segmentation needs strong, varied perturbations
  5 Jun 2019 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We analyze the problem of semantic segmentation and find that its' distribution does not exhibit low density regions separating classes and offer this as an explanation for why semi-supervised segmentation is a…
• Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
  2 Jun 2021 3 repositories listed Syntology ran 22 of 39 samples · 17 unverified · 28 pointer-only (licence)
  Our approach imposes the consistency on two segmentation networks perturbed with different initialization for the same input image.
• Fast Online Object Tracking and Segmentation: A Unifying Approach
  12 Dec 2018 3 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.
• Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
  16 Jun 2015 3 repositories listed
  We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations.
• Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
  9 Feb 2015 3 repositories listed
  Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently significantly pushed the state-of-art in semantic image segmentation.
• Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
  4 Jul 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This patch classifier is trained to identify classes present within an image region, which facilitates the elimination of distractors and enhances the classification of small object segments.
• Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
  1 May 2023 2 repositories listed Syntology ran 6 of 19 samples · 13 unverified
  In semi-supervised medical image segmentation, there exist empirical mismatch problems between labeled and unlabeled data distribution.
• Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
  2 Mar 2023 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this work, we propose a new conflict-based cross-view consistency (CCVC) method based on a two-branch co-training framework which aims at enforcing the two sub-nets to learn informative features from irrelevant views.
• Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
  1 Jan 2023 2 repositories listed
  Although recent works in semi-supervised learning (SemiSL) have accomplished significant success in natural image segmentation, the task of learning discriminative representations from limited annotations has been an…
• Triple-View Feature Learning for Medical Image Segmentation
  12 Aug 2022 2 repositories listed
  The confidence of each model gets improved through the other two views of the feature learning.
• LaserMix for Semi-Supervised LiDAR Semantic Segmentation
  30 Jun 2022 2 repositories listed
  Densely annotating LiDAR point clouds is costly, which restrains the scalability of fully-supervised learning methods.
• Translation Consistent Semi-supervised Segmentation for 3D Medical Images
  28 Mar 2022 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  The most successful SSL approaches are based on consistency learning that minimises the distance between model responses obtained from perturbed views of the unlabelled data.
• Robust Semantic Segmentation with Superpixel-Mix
  2 Aug 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Along with predictive performance and runtime speed, reliability is a key requirement for real-world semantic segmentation.
• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
  27 Jun 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Semantic segmentation has made tremendous progress in recent years.
• Bootstrapping Semantic Segmentation with Regional Contrast
  9 Apr 2021 2 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 2 pointer-only (licence)
  We present ReCo, a contrastive learning framework designed at a regional level to assist learning in semantic segmentation.
• Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
  19 Nov 2020 2 repositories listed
  However, we found that in the outdoor point cloud, the improvement obtained in this way is quite limited.
• PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
  19 Oct 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We demonstrate the effectiveness of the proposed pseudo-labeling strategy in both low-data and high-data regimes.
• ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
  15 Jul 2020 2 repositories listed Syntology ran 5 of 19 samples · 14 unverified
  A key challenge is that common augmentations used in semi-supervised classification are less effective for semantic segmentation.
• Part-aware Prototype Network for Few-shot Semantic Segmentation
  13 Jul 2020 2 repositories listed
  In this paper, we propose a novel few-shot semantic segmentation framework based on the prototype representation.
• DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation
  14 Jul 2025 1 repository listed
  Pixel-level annotation is expensive and time-consuming.
• Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model
  4 Jul 2025 1 repository listed
  Extensive experiments on Pascal VOC and Context datasets demonstrate two key findings: (1) using additional unlabeled images improves the performance of semi-supervised learners in scenarios with few labels, and (2)…
• FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
  11 Jun 2025 1 repository listed
  Semi-supervised semantic segmentation (SSSS) faces persistent challenges in effectively leveraging unlabeled data, such as ineffective utilization of pseudo-labels, exacerbation of class imbalance biases, and neglect of…
• RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation
  10 Jun 2025 1 repository listed
  Semantic segmentation in remote sensing images is crucial for various applications, yet its performance is heavily reliant on large-scale, high-quality pixel-wise annotations, which are notoriously expensive and…
• Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning
  23 Mar 2025 1 repository listed
  Specifically, we first design a feature knowledge alignment (FKA) strategy to promote the feature consistency learning of the encoder from image-augmentation.
• Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation
  4 Mar 2025 1 repository listed
  To this end, we propose TokenMix, a data augmentation technique specifically designed for semi-supervised semantic segmentation with Vision Transformers.
• Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
  21 Feb 2025 1 repository listed
  Extensive experiments on the Pascal VOC 2012 and Cityscapes demonstrate that our method achieves state-of-the-art performance.
• Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
  18 Jan 2025 1 repository listed
  To address these problems, this paper proposes a novel semi-supervised Multi-Scale Uncertainty and Cross-Teacher-Student Attention (MUCA) model for RS image semantic segmentation tasks.

Syntology lines on 15 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.