Pseudo Label

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 438 papers with code (956 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.

• FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
  21 Jan 2020 26 repositories listed Syntology ran 50 of 74 samples · 24 unverified · 14 pointer-only (licence)
  Semi-supervised learning (SSL) provides an effective means of leveraging unlabeled data to improve a model's performance.
• End-to-End Semi-Supervised Object Detection with Soft Teacher
  16 Jun 2021 8 repositories listed
  This paper presents an end-to-end semi-supervised object detection approach, in contrast to previous more complex multi-stage methods.
• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
  17 Oct 2021 5 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping.
• Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
  15 Feb 2023 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  The Pseudo Label Assigner prevents the occurrence of bias caused by a large number of low-quality pseudo labels that may interfere with the Dense Detector during the student-teacher mutual learning mechanism, and the…
• 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.
• Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
  28 Apr 2021 4 repositories listed Syntology ran 7 of 21 samples · 14 unverified · 3 pointer-only (licence)
  This paper proposes a novel method of learning by predicting view assignments with support samples (PAWS).
• Webly Supervised Image Classification with Self-Contained Confidence
  27 Aug 2020 4 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Therefore, a simple yet effective WSL framework is proposed.
• 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.
• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
  15 Aug 2023 3 repositories listed
  To this end, we propose a context-aware pseudo-label refinement method for SF-UDA.
• Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
  16 Jul 2023 3 repositories listed
  Specifically, we propose a Stage-wise Hybrid Matching strategy that combines the one-to-many assignment and one-to-one assignment strategies to improve the training efficiency of the first stage and thus provide…
• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
  4 Mar 2021 3 repositories listed
  Such mutual consistency encourages the two decoders to have consistent and low-entropy predictions and enables the model to gradually capture generalized features from these unlabeled challenging regions.
• Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
  4 Jun 2020 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  To solve these problems, we propose a novel self-paced contrastive learning framework with hybrid memory.
• Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
  14 Mar 2020 3 repositories listed
  To tackle the challenges, we propose an end-to-end structured domain adaptation framework with an online relation-consistency regularization term.
• Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
  20 Mar 2025 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  In this work, we introduce a GFS-PCS framework that synergizes dense but noisy pseudo-labels from 3D VLMs with precise yet sparse few-shot samples to maximize the strengths of both, named GFS-VL.
• PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
  23 Jan 2025 2 repositories listed
  Based on the views, a scale augmentation module and an angle acquisition module are constructed.
• 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.
• Unified Unsupervised Salient Object Detection via Knowledge Transfer
  23 Apr 2024 2 repositories listed Syntology ran 12 of 19 samples · 7 unverified
  Firstly, we propose a Progressive Curriculum Learning-based Saliency Distilling (PCL-SD) mechanism to extract saliency cues from a pre-trained deep network.
• Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation
  31 Mar 2024 2 repositories listed
  To address these issues, we investigate a highly annotation-efficient weak supervision, which assumes only sparse center-points on a small subset of object instances in the target training images.
• Towards Generalizing to Unseen Domains with Few Labels
  18 Mar 2024 2 repositories listed
  Existing domain generalization (DG) methods which are unable to exploit unlabeled data perform poorly compared to semi-supervised learning (SSL) methods under SSDG setting.
• EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
  12 Oct 2023 2 repositories listed
  Self-supervised monocular depth estimation holds significant importance in the fields of autonomous driving and robotics.
• Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
  15 Jul 2023 2 repositories listed
  Inspired by SkeletonBYOL, this paper further presents a Cross-Model and Cross-Stream (CMCS) framework.
• Rethinking Semi-supervised Learning with Language Models
  22 May 2023 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  Semi-supervised learning (SSL) is a popular setting aiming to effectively utilize unlabelled data to improve model performance in downstream natural language processing (NLP) tasks.
• Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
  15 Apr 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  This study investigates barely-supervised medical image segmentation where only few labeled data, i.
• SemPPL: Predicting pseudo-labels for better contrastive representations
  12 Jan 2023 2 repositories listed Syntology ran 0 of 16 samples · 16 unverified
  We propose a new semi-supervised learning method, Semantic Positives via Pseudo-Labels (SemPPL), that combines labelled and unlabelled data to learn informative representations.
• 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…
• GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
  7 Dec 2022 2 repositories listed
  During the training procedure, we notice the distinct optimization goals for training learnable augmentors and contrastive learning networks.
• Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
  10 Oct 2022 2 repositories listed
  Experiments demonstrate the state-of-the-art performance of our Pseudo-Loss Selection (PLS) algorithm on a variety of benchmark datasets including curated data synthetically corrupted with in-distribution and…
• When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
  12 Aug 2022 2 repositories listed
  A topological exploration of all alternative supervision modes with CNN and ViT are detailed validated, demonstrating the most promising performance and specific setting of our method on semi-supervised medical image…
• Analysis of Semi-Supervised Methods for Facial Expression Recognition
  31 Jul 2022 2 repositories listed
  To reduce the reliance of deep neural solutions on labeled data, state-of-the-art semi-supervised methods have been proposed in the literature.
• Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
  23 Jul 2022 2 repositories listed
  Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.

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.