Miscellaneous

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

29 shown of 29 papers with code (93 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.

• Deep Face Recognition: A Survey
  18 Apr 2018 8 repositories listed
  Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction.
• Awesome Multi-modal Object Tracking
  23 May 2024 5 repositories listed
  To leverage more modalities, some recent efforts have been made to learn a unified visual object tracking model for any modality.
• Joint Statistical and Causal Feature Modulated Face Anti-Spoofing
  4 Jul 2023 3 repositories listed
  In this paper, we propose a hierarchical feature modulation (HFM) approach for stable face anti-spoofing in unseen domains and unseen attacks.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Taming the Titans: A Survey of Efficient LLM Inference Serving
  28 Apr 2025 1 repository listed
  Finally, we outline potential research directions to further advance the field of LLM inference serving.
• Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
  28 Jan 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The Hamiltonian Monte Carlo with sampling acceptance rate almost close to 1 also makes our framework enjoy great efficiency.
• 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.
• ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
  29 Jul 2024 1 repository listed
  However, current datasets in the field contain generated images with questionable quality or have examples from one predominant content type which leads to poor generalizability of the underlying detectors.
• Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
  14 Jul 2024 1 repository listed
  Cellular nuclei recognition serves as a fundamental and essential step in the workflow of digital pathology.
• D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
  7 May 2024 1 repository listed
  Large language models (LLMs) have garnered significant attention and widespread usage due to their impressive performance in various tasks.
• Pre-training on High Definition X-ray Images: An Experimental Study
  27 Apr 2024 1 repository listed
  Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.
• EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
  15 Mar 2024 1 repository listed
  Solving the problems in the dataset requires advanced perception and joint reasoning over the text and the visual content of the image.
• Decomposed Meta-Learning for Few-Shot Sequence Labeling
  4 Mar 2024 1 repository listed
  With the detected mention spans, we further leverage the MAML-enhanced span-level prototypical network for few-shot type classification.
• CMNER: A Chinese Multimodal NER Dataset based on Social Media
  21 Feb 2024 1 repository listed
  Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images.
• Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
  25 Jul 2023 1 repository listed
  The Flair Embeddings model trained on the medium corpus with the latest FLAIR version showed the best accuracy of 0.
• Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
  14 Feb 2023 1 repository listed
  We design an improved triplet network to map samples and prototype vectors into a low-dimensional space that is easier to be classified and propose an adaptive margin for each entity type.
• Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
  29 Jan 2023 1 repository listed
  Our dataset also comes with a ``miscellaneous'' category, over which we test the image tagging models.
• Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
  8 Oct 2022 1 repository listed
  Thanks to the causal inference, we identify that the forgetting is caused by the missing causal effect from the old data.
• What Dense Graph Do You Need for Self-Attention?
  27 May 2022 1 repository listed
  Transformers have made progress in miscellaneous tasks, but suffer from quadratic computational and memory complexities.
• FastIoT -- A framework and holistic approach for rapid development of IIoT systems
  31 Jan 2022 1 repository listed
  While lots of research has been conducted on the architecture of Industrial Internet of Things (IIoT) systems, concepts of structuring their development processes are missing.
• Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
  29 Jun 2021 1 repository listed
  Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions.
• Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition Systems
  1 Apr 2021 1 repository listed
  We present a collection of Named Entity Recognition (NER) systems for six Slavic languages: Bulgarian, Czech, Polish, Slovenian, Russian and Ukrainian.
• CE-FPN: Enhancing Channel Information for Object Detection
  19 Mar 2021 1 repository listed
  Instead of the original 1x1 convolution and linear upsampling, it mitigates the information loss due to channel reduction.
• Targeted VAE: Variational and Targeted Learning for Causal Inference
  28 Sep 2020 1 repository listed
  Undertaking causal inference with observational data is incredibly useful across a wide range of tasks including the development of medical treatments, advertisements and marketing, and policy making.
• Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
  3 Dec 2019 1 repository listed
  This procedure encourages that the selected training samples can be both clean and miscellaneous, and that the two models can promote each other iteratively.
• Named-Entity Recognition for Norwegian
  1 Sep 2019 1 repository listed
  NER is the task of recognizing and demarcating the segments of a document that are part of a name and which type of name it is.
• IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
  19 Aug 2019 1 repository listed
  In this paper, we propose a novel Instance Relation Network (IRNet) for robust overlapping cell segmentation by exploring instance relation interaction.
• A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
  1 Aug 2019 1 repository listed
  In order to accelerate the clinical usage of biomedical image analysis based on deep learning techniques, we intentionally expand this survey to include the explanation methods for deep models that are important to…
• eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images
  27 Nov 2018 1 repository listed
  We also proposed an algorithm for lymphocyte segmentation based on nucleus detection and classification.

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.