Small Data Image Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

12 leaderboard tables shown for this task, 12 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. 10 shown of 12 until expanded.

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

9 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 58 papers with code (179 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.

• Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
  11 Apr 2020 9 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community.
• Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
  21 Nov 2018 6 repositories listed
  The proposed architecture recaptures discarded supervision signals by complementing object detection with an auxiliary task in the form of semantic segmentation without introducing the additional complexity of…
• Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
  3 Oct 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)
  On VOC07 testbed for few-shot image classification tasks on ImageNet with transfer learning (Goyal et al., 2019), replacing the linear SVM currently used with a Convolutional NTK SVM consistently improves performance.
• Learning What and Where to Transfer
  15 May 2019 4 repositories listed Syntology ran 4 of 11 samples · 7 unverified · 1 pointer-only (licence)
  To address the issue, we propose a novel transfer learning approach based on meta-learning that can automatically learn what knowledge to transfer from the source network to where in the target network.
• On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
  16 Mar 2020 3 repositories listed
  In this paper we challenge the common assumption that convolutional layers in modern CNNs are translation invariant.
• Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
  6 Jun 2015 3 repositories listed
  Convolutional neural networks (CNNs) work well on large datasets.
• Rigid-Soft Interactive Learning for Robust Grasping
  29 Feb 2020 2 repositories listed
  We use soft, stuffed toys for training, instead of everyday objects, to reduce the integration complexity and computational burden and exploit such rigid-soft interaction by changing the gripper fingers to the soft ones…
• DeepMoD: Deep learning for Model Discovery in noisy data
  20 Apr 2019 2 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  We introduce DeepMoD, a Deep learning based Model Discovery algorithm.
• Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease
  28 Dec 2018 2 repositories listed
  Lastly, with proper FR and FS, the performance of diffusion MRI features is comparable to that of T1w MRI.
• CuMF_SGD: Fast and Scalable Matrix Factorization
  19 Oct 2016 2 repositories listed
  overcomes the issue of memory discontinuity.
• Image Classification With Small Datasets: Overview and Benchmark
  5 May 2022 1 repository listed
  However, as research in this scope is still in its infancy, two key ingredients are missing for ensuring reliable and truthful progress: a systematic and extensive overview of the state of the art, and a common…
• ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
  23 Feb 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  In this work, we address the problem of learning deep neural networks on small datasets.
• TorchXRayVision: A library of chest X-ray datasets and models
  31 Oct 2021 1 repository listed
  TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.
• Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
  30 Aug 2021 1 repository listed
  Data-efficient image classification using deep neural networks in settings, where only small amounts of labeled data are available, has been an active research area in the recent past.
• S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample Learning
  23 Aug 2021 1 repository listed
  Surface defect recognition of products is a necessary process to guarantee the quality of industrial production.
• Parametric Scattering Networks
  20 Jul 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  The wavelet scattering transform creates geometric invariants and deformation stability.
• About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
  28 May 2021 1 repository listed
  Self-supervised learning methods for computer vision have demonstrated the effectiveness of pre-training feature representations, resulting in well-generalizing Deep Neural Networks, even if the annotated data are…
• Auxiliary Learning by Implicit Differentiation
  22 Jun 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Two main challenges arise in this multi-task learning setting: (i) designing useful auxiliary tasks; and (ii) combining auxiliary tasks into a single coherent loss.
• Ensemble long short-term memory (EnLSTM) network
  26 Apr 2020 1 repository listed
  In this study, we propose an ensemble long short-term memory (EnLSTM) network, which can be trained on a small dataset and process sequential data.
• Meta-Meta Classification for One-Shot Learning
  17 Apr 2020 1 repository listed
  We present a new approach, called meta-meta classification, to learning in small-data settings.
• Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
  14 Apr 2020 1 repository listed
  Multimedia content in social media platforms provides significant information during disaster events.
• Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
  5 Apr 2020 1 repository listed
  On a test set of 20 unseen COVID-19 cases all were correctly classified and more than 95% of 4171 other pneumonia examples were correctly classified.
• Generative Latent Implicit Conditional Optimization when Learning from Small Sample
  31 Mar 2020 1 repository listed Syntology ran 0 of 16 samples · 16 unverified
  GLICO learns a mapping from the training examples to a latent space and a generator that generates images from vectors in the latent space.
• Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
  16 Mar 2020 1 repository listed Syntology ran 5 of 12 samples · 7 unverified
  We show that none of the existing methods satisfy all three requirements, and demonstrate how Mix-n-Match calibration strategies (i.
• Unbiased Mean Teacher for Cross-domain Object Detection
  2 Mar 2020 1 repository listed Syntology ran 2 of 6 samples · 4 unverified
  We reveal that there often exists a considerable model bias for the simple mean teacher (MT) model in cross-domain scenarios, and eliminate the model bias with several simple yet highly effective strategies.
• Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
  26 Feb 2020 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In contrast to existing methods, we present novel dynamic-programming algorithms for \emph{exact} inference in hierarchical clustering based on a novel trellis data structure, and we prove that we can exactly compute…
• Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
  26 Feb 2020 1 repository listed
  Extracting large amounts of data from biological samples is not feasible due to radiation issues, and image processing in the small-data regime is one of the critical challenges when working with a limited amount of…
• On Coresets for Support Vector Machines
  15 Feb 2020 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  A coreset is a small, representative subset of the original data points such that a models trained on the coreset are provably competitive with those trained on the original data set.
• Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
  30 Dec 2019 1 repository listed Syntology ran 0 of 10 samples · 10 unverified
  Data-based discovery of effective, coarse-grained (CG) models of high-dimensional dynamical systems presents a unique challenge in computational physics and particularly in the context of multiscale problems.
• Randomly Projected Additive Gaussian Processes for Regression
  30 Dec 2019 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Surprisingly, we find that as the number of random projections increases, the predictive performance of this approach quickly converges to the performance of a kernel operating on the original full dimensional inputs,…

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.