Weakly supervised segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 76 papers with code (147 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.

• OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
  12 Jun 2020 8 repositories listed
  On IAM we even surpass single line methods that use accurate localization information during training.
• WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
  3 Nov 2021 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Deep learning-based medical image segmentation has shown the potential to reduce manual delineation efforts, but it still requires a large-scale fine annotated dataset for training, and there is a lack of large-scale…
• Constrained-CNN losses for weakly supervised segmentation
  12 May 2018 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  To the best of our knowledge, the method of [Pathak et al., 2015] is the only prior work that addresses deep CNNs with linear constraints in weakly supervised segmentation.
• Learn To Pay Attention
  6 Apr 2018 4 repositories listed
  We propose an end-to-end-trainable attention module for convolutional neural network (CNN) architectures built for image classification.
• Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery
  28 Jun 2023 3 repositories listed
  Land cover (LC) segmentation plays a critical role in various applications, including environmental analysis and natural disaster management.
• PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
  19 Aug 2022 2 repositories listed
  Existing toolkits mainly focus on fully supervised segmentation and require full and accurate pixel-level annotations that are time-consuming and difficult to acquire for segmentation tasks, which makes learning from…
• Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
  7 Oct 2021 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 1 pointer-only (licence)
  We discover a phenomenon that has been previously reported in the context of classification: the networks tend to first fit the clean pixel-level labels during an "early-learning" phase, before eventually memorizing the…
• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
  4 Mar 2021 2 repositories listed
  Thus, weakly-supervised semantic segmentation techniques are proposed to utilize weak supervision that is cheaper and quicker to acquire.
• Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
  14 Nov 2020 2 repositories listed
  We propose novel regularization terms, which enable the model to seek both non-discriminative and discriminative regions, while discouraging unbalanced segmentations.
• Integral Object Mining via Online Attention Accumulation
  1 Oct 2019 2 repositories listed
  In order to accumulate the discovered different object parts, we propose an online attention accumulation (OAA) strategy which maintains a cumulative attention map for each target category in each training image so that…
• Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses
  27 Feb 2025 1 repository listed
  Weakly supervised segmentation methods can delineate thyroid nodules in ultrasound images efficiently using training data with coarse labels, but suffer from: 1) low-confidence pseudo-labels that follow topological…
• HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation
  25 Dec 2024 1 repository listed
  Experimental results on three public datasets ACDC, MSCMRseg, and CHAOS show that HELPNet significantly outperforms state-of-the-art methods for scribble-based weakly supervised segmentation and achieves performance…
• Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
  20 Oct 2024 1 repository listed
  The features of self-supervised vision transformers (ViTs) contain strong semantic and positional information relevant to downstream tasks like object localization and segmentation.
• Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
  22 Aug 2024 1 repository listed
  In this work, we introduce Scribbles for All, a label and training data generation algorithm for semantic segmentation trained on scribble labels.
• Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
  3 Jul 2024 1 repository listed
  On the other hand, losses can be imposed on differentiable heatmaps, which has been shown to serve for (1)~improving heatmaps to be more human-interpretable, (2)~regularization of networks towards better generalization,…
• Competing for pixels: a self-play algorithm for weakly-supervised segmentation
  26 May 2024 1 repository listed
  Additionally, we propose a game termination condition that can be called by either side upon exhaustion of all ROI-containing patches, followed by the selection of a final patch from each.
• DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions
  23 Apr 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverified · 9 pointer-only (licence)
  However, the current weakly supervised nuclei segmentation approaches typically follow a two-stage pseudo-label generation and network training process.
• Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic Approach
  15 Feb 2024 1 repository listed
  The field of architectural design is experiencing a transformative shift towards the integration of advanced computational methodologies, aiming to revolutionize traditional practices through automation.
• Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images
  13 Feb 2024 1 repository listed
  This paper proposes a dynamic interactive and weakly supervised segmentation method with minimal user interactions to address two major challenges in the segmentation of whole slide histopathology images.
• ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
  25 Jan 2024 1 repository listed
  Weakly-supervised segmentation (WSS) has emerged as a solution to mitigate the conflict between annotation cost and model performance by adopting sparse annotation formats (e.
• Semantic-aware SAM for Point-Prompted Instance Segmentation
  26 Dec 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this paper, we introduce a cost-effective category-specific segmenter using SAM.
• PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
  16 Nov 2023 1 repository listed
  To address this issue, we propose a novel yet effective weakly-supervised surgical instrument instance segmentation approach, named Point-based Weakly-supervised Instance Segmentation (PWISeg).
• Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI
  13 Nov 2023 1 repository listed
  Adding a classifier improves the anatomical and topological accuracy of all correctly classified double aortic arch subjects.
• Label-efficient Segmentation via Affinity Propagation
  16 Oct 2023 1 repository listed
  In this work, we formulate the affinity modeling as an affinity propagation process, and propose a local and a global pairwise affinity terms to generate accurate soft pseudo labels.
• Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
  6 Aug 2023 1 repository listed
  In the paper, we propose FocalSegNet, a novel 3D focal modulation UNet, to detect an aneurysm and offer an initial, coarse segmentation of it from time-of-flight MRA image patches, which is further refined with a dense…
• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
  26 Jun 2023 1 repository listed
  Magnetic resonance imaging (MRI) is commonly used for brain tumor segmentation, which is critical for patient evaluation and treatment planning.
• Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
  11 May 2023 1 repository listed
  Most uses of Meta-Learning in visual recognition are very often applied to image classification, with a relative lack of works in other tasks {such} as segmentation and detection.
• Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation
  12 Apr 2023 1 repository listed
  The statistical heterogeneity (e.
• Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
  7 Apr 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Image segmentation is a fundamental task in the field of imaging and vision.
• High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
  5 Apr 2023 1 repository listed
  Our work is based on two techniques for improving CAMs; importance sampling, which is a substitute for GAP, and the feature similarity loss, which utilizes a heuristic that object contours almost always align with color…

Syntology lines on 6 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.