Weakly-supervised Learning

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 259 papers with code (613 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…
• Hyperspherical Consistency Regularization
  2 Jun 2022 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)
  Though it benefits from taking advantage of both feature-dependent information from self-supervised learning and label-dependent information from supervised learning, this scheme remains suffering from bias of the…
• Learning 3D Shape Completion under Weak Supervision
  18 May 2018 5 repositories listed
  We address the problem of 3D shape completion from sparse and noisy point clouds, a fundamental problem in computer vision and robotics.
• Weakly Supervised Deep Detection Networks
  9 Nov 2015 5 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Weakly supervised learning of object detection is an important problem in image understanding that still does not have a satisfactory solution.
• PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
  29 Jul 2022 4 repositories listed
  Utilizing the proposed weakly supervised learning framework, PageNet requires only transcripts to be annotated for real data; however, it can still output detection and recognition results at both the character and line…
• Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
  21 Jun 2021 4 repositories listed Syntology ran 17 of 29 samples · 12 unverified · 29 pointer-only (licence)
  Learning with noisy labels is a practically challenging problem in weakly supervised learning.
• Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
  20 Mar 2019 4 repositories listed Syntology ran 11 of 36 samples · 25 unverified
  Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.
• See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
  26 Jan 2019 4 repositories listed
  Specifically, for each training image, we first generate attention maps to represent the object's discriminative parts by weakly supervised learning.
• 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.
• Multimodal Generative Models for Scalable Weakly-Supervised Learning
  14 Feb 2018 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Multiple modalities often co-occur when describing natural phenomena.
• A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
  7 Sep 2022 3 repositories listed
  In this paper, we focus on a new weakly-supervised SOD task under hybrid labels, where the supervision labels include a large number of coarse labels generated by the traditional unsupervised method and a small number…
• Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
  1 Jan 2021 3 repositories listed
  In this way, the graph topology of the whole point cloud can be effectively established by the introduced auxiliary supervision, such that the information propagation between the labeled and unlabeled points will be…
• Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
  2 Jul 2020 3 repositories listed
  We evaluated our model on several medical (ACDC, LVSC, CHAOS) and non-medical (PPSS) datasets, and we report performance levels matching those achieved by models trained with fully annotated segmentation masks.
• CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
  28 Aug 2019 3 repositories listed
  In this research, we propose CAMEL, a weakly supervised learning framework for histopathology image segmentation using only image-level labels.
• How does Disagreement Help Generalization against Label Corruption?
  14 Jan 2019 3 repositories listed
  Learning with noisy labels is one of the hottest problems in weakly-supervised learning.
• InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
  22 Mar 2024 2 repositories listed
  We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue.
• Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
  16 Feb 2024 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 4 pointer-only (licence)
  Medical image segmentation is increasingly reliant on deep learning techniques, yet the promising performance often come with high annotation costs.
• Weaker Than You Think: A Critical Look at Weakly Supervised Learning
  27 May 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this paper, we revisit the setup of these approaches and find that the benefits brought by these approaches are significantly overestimated.
• CLImage: Human-Annotated Datasets for Complementary-Label Learning
  15 May 2023 2 repositories listed
  Our efforts resulted in the creation of four datasets: CLCIFAR10, CLCIFAR20, CLMicroImageNet10, and CLMicroImageNet20, derived from well-known classification datasets CIFAR10, CIFAR100, and TinyImageNet200.
• Unsupervised representation learning with recognition-parametrised probabilistic models
  13 Sep 2022 2 repositories listed
  We introduce a new approach to probabilistic unsupervised learning based on the recognition-parametrised model (RPM): a normalised semi-parametric hypothesis class for joint distributions over observed and latent…
• FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
  30 Aug 2022 2 repositories listed
  A novel deep learning method is proposed for fast and accurate segmentation of the human brain into 132 regions.
• Revisiting Weakly Supervised Pre-Training of Visual Perception Models
  20 Jan 2022 2 repositories listed
  Model pre-training is a cornerstone of modern visual recognition systems.
• SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
  7 Apr 2021 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified · 9 pointer-only (licence)
  We present SCANimate, an end-to-end trainable framework that takes raw 3D scans of a clothed human and turns them into an animatable avatar.
• 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.
• Medical Image Segmentation Using Deep Learning: A Survey
  28 Sep 2020 2 repositories listed
  Firstly, compared to traditional surveys that directly divide literatures of deep learning on medical image segmentation into many groups and introduce literatures in detail for each group, we classify currently popular…
• BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
  8 Jun 2020 2 repositories listed
  In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVID-19 patients.
• AmbigQA: Answering Ambiguous Open-domain Questions
  22 Apr 2020 2 repositories listed
  Ambiguity is inherent to open-domain question answering; especially when exploring new topics, it can be difficult to ask questions that have a single, unambiguous answer.
• Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
  22 Apr 2020 2 repositories listed
  Pests and diseases are relevant factors for production losses in agriculture and, therefore, promote a huge investment in the prevention and detection of its causative agents.
• Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
  9 Apr 2020 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  Weakly supervised learning has emerged as a compelling tool for object detection by reducing the need for strong supervision during training.
• Combating noisy labels by agreement: A joint training method with co-regularization
  5 Mar 2020 2 repositories listed
  The state-of-the-art approaches "Decoupling" and "Co-teaching+" claim that the "disagreement" strategy is crucial for alleviating the problem of learning with noisy labels.

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.