Weakly-Supervised Semantic Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

9 leaderboard tables shown for this task (1 more in the archive withheld as spam; see /not-shown), 9 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.

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

8 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 169 papers with code (296 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.

• Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
  10 Apr 2019 8 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  For generating the pseudo labels, we first identify confident seed areas of object classes from attention maps of an image classification model, and propagate them to discover the entire instance areas with accurate…
• Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
  9 Dec 2022 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Firstly, we construct a pretext task, \textit{i.
• Puzzle-CAM: Improved localization via matching partial and full features
  27 Jan 2021 4 repositories listed
  Weakly-supervised semantic segmentation (WSSS) is introduced to narrow the gap for semantic segmentation performance from pixel-level supervision to image-level supervision.
• 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.
• Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
  5 Mar 2024 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  However, it is still a non-trivial task hindered by complex ground details, various landforms, and the scarcity of accurate training labels over a wide-span geographic area.
• 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.
• Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation
  18 Mar 2025 2 repositories listed
  Scribble-based weakly supervised semantic segmentation leverages only a few annotated pixels as labels to train a segmentation model, presenting significant potential for reducing the human labor involved in the…
• EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
  17 Oct 2024 2 repositories listed
  To demonstrate the superiority of the proposed method, experimental studies are conducted on histopathological breast cancer datasets.
• Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
  22 Sep 2023 2 repositories listed
  In addition, our method also achieves state-of-the-art weakly supervised semantic segmentation performance on the PASCAL VOC 2012 and MS COCO 2014 datasets.
• Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
  30 Jun 2023 2 repositories listed
  First, modifying only the class token of the text prompt results in a greater impact on the Class Activation Map (CAM), compared to arguably more complex strategies that optimize the context.
• 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…
• RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
  14 Apr 2022 2 repositories listed
  Although weakly supervised semantic segmentation using only image-level labels (WSSS-IL) is potentially useful, its low performance and implementation complexity still limit its application.
• Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
  5 Mar 2022 2 repositories listed
  Motivated by the inherent consistency between the self-attention in Transformers and the semantic affinity, we propose an Affinity from Attention (AFA) module to learn semantic affinity from the multi-head…
• Cross Language Image Matching for Weakly Supervised Semantic Segmentation
  5 Mar 2022 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  As only a fixed set of image-level object labels are available to the WSSS (weakly supervised semantic segmentation) model, it could be very difficult to suppress those diverse background regions consisting of open set…
• 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…
• Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
  30 Aug 2021 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  For these matters, we propose the following designs to push the performance to new state-of-art: (i) Coefficient of Variation Smoothing to smooth the CAMs adaptively; (ii) Proportional Pseudo-mask Generation to project…
• SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
  11 Apr 2021 2 repositories listed
  Labelling point clouds fully is highly time-consuming and costly.
• Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
  2 Apr 2021 2 repositories listed
  We address the problem of weakly-supervised semantic segmentation (WSSS) using bounding box annotations.
• 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.
• Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
  3 Jul 2020 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Moreover, our approach ranked 1st place in the Weakly-Supervised Semantic Segmentation Track of CVPR2020 Learning from Imperfect Data Challenge.
• Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
  9 Apr 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  Our method is based on the observation that equivariance is an implicit constraint in fully supervised semantic segmentation, whose pixel-level labels take the same spatial transformation as the input images during data…
• 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…
• Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
  28 Mar 2018 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels.
• Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation
  18 Jul 2017 2 repositories listed
  We propose an approach to discover class-specific pixels for the weakly-supervised semantic segmentation task.
• SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours
  25 May 2025 1 repository listed
  Such binary labels of patient-level cancer presence can be sourced more feasibly from biopsies and histopathology reports, enabling a more objective cancer localisation on medical images.
• Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation
  26 Mar 2025 1 repository listed Syntology ran 4 of 11 samples · 7 unverified · 11 pointer-only (licence)
  To mine fine-grained knowledge from visual features, our VC module first proposes Static Visual Calibration (SVC) to propagate fine-grained knowledge in a non-parametric manner.
• DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
  21 Feb 2025 1 repository listed
  This alignment of activation responses with semantic information strengthens the propagation and decoupling of target features, enabling the generated embeddings to more accurately represent target features in…
• POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
  1 Jan 2025 1 repository listed
  In this process, a similarity-aware optimal transport is employed to assign features to the most probable clusters.
• FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
  1 Jan 2025 1 repository listed
  To address this, we propose a Frequency Feature Rectification (FFR) framework to rectify the false segmentations caused by attenuated high-frequency features and enhance the learning of high-frequency features in the…
• HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
  30 Dec 2024 1 repository listed
  In order to further avoid the model overfitting to the occasional synthesis artifacts, we additionally propose a novel self-supervised consistency regularization, which enables the real images without segmentation masks…

Syntology lines on 11 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.