Artifact Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

1 dataset 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

17 shown of 17 papers with code (60 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.

• FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
  2 Dec 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e.
• Reference-based Restoration of Digitized Analog Videotapes
  20 Oct 2023 2 repositories listed
  We design a transformer-based Swin-UNet network that exploits both neighboring and reference frames via our Multi-Reference Spatial Feature Fusion (MRSFF) blocks.
• Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
  5 May 2023 2 repositories listed
  Therefore, this study provides an effective solution for resource-constraint IoT smart health devices in PPG artifact detection.
• Detecting Human Artifacts from Text-to-Image Models
  21 Nov 2024 1 repository listed
  In this study, we address this challenge by curating Human Artifact Dataset (HAD), the first large-scale dataset specifically designed to identify and localize human artifacts.
• Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
  29 Sep 2024 1 repository listed
  HistoROI is trained using a novel human-in-the-loop and active learning paradigm that ensures variations in training data for labeling-efficient generalization.
• Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
  17 Jun 2024 1 repository listed
  The problem of artifacts in whole slide image acquisition, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning.
• PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
  24 May 2024 1 repository listed
  Running deep neural networks for large medical images is a resource-hungry and time-consuming task with centralized computing.
• Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
  12 Mar 2024 1 repository listed
  We developed DL pipelines using two MoEs and two multiclass models of state-of-the-art deep convolutional neural networks (DCNNs) and vision transformers (ViTs).
• Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
  23 Dec 2023 1 repository listed
  We achieved 0.
• Sparse learned kernels for interpretable and efficient medical time series processing
  6 Jul 2023 1 repository listed
  Rapid, reliable, and accurate interpretation of medical time-series signals is crucial for high-stakes clinical decision-making.
• Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
  27 May 2023 1 repository listed
  Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks.
• Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
  26 Sep 2022 1 repository listed
  Since blood and damaged tissue have subtle color differences, we assess the impact of color processing methods on the binary classification performance of five well-known architectures.
• A Practical Guide to Logical Access Voice Presentation Attack Detection
  10 Jan 2022 1 repository listed
  Presentation attack detection (PAD) for ASV, or speech anti-spoofing, is therefore indispensable.
• Automatic Flare Spot Artifact Detection and Removal in Photographs
  7 Mar 2021 1 repository listed
  Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view.
• Automating Artifact Detection in Video Games
  30 Nov 2020 1 repository listed
  Based on a sample of representative screen corruption examples, the model was able to identify 10 of the most commonly occurring screen artifacts with reasonable accuracy.
• Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
  13 Aug 2018 1 repository listed
  We show that the proposed technique can be used as a generalized model for iEEG artifact detection.
• Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data
  26 Jul 2017 1 repository listed
  In this paper, we demonstrate that unsupervised learning algorithms perform competitively with supervised algorithms for detecting MAs on EDA data collected in both a lab-based setting and a real-world setting…

Syntology lines on 1 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.