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mini-Imagenet

Introduced by Oriol Vinyals et al. in Matching Networks for One Shot Learning13 Jun 2016 archive 2025-07-28

mini-Imagenet is proposed by Matching Networks for One Shot Learning . In NeurIPS, 2016. This dataset consists of 50000 training images and 10000 testing images, evenly distributed across 100 classes.

BenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 21 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Few-Shot Image Classification Mini-Imagenet 5-way (1-shot) SgVA-CLIP Accuracy 97.95 SgVA-CLIP: Semantic-guided Visual Adapting of... FannierPeng/SgVA-CLIP 105 Compare
Few-Shot Image Classification Mini-Imagenet 5-way (5-shot) SgVA-CLIP Accuracy 98.72 SgVA-CLIP: Semantic-guided Visual Adapting of... FannierPeng/SgVA-CLIP 95 Compare
Unsupervised Few-Shot Image Classification Mini-Imagenet 5-way (1-shot) BECLR Accuracy 80.57 BECLR: Batch Enhanced Contrastive Few-Shot Learning stypoumic/beclr 28 Compare
Unsupervised Few-Shot Image Classification Mini-Imagenet 5-way (5-shot) BECLR Accuracy 87.82 BECLR: Batch Enhanced Contrastive Few-Shot Learning stypoumic/beclr 28 Compare
Few-Shot Image Classification Mini-ImageNet - 1-Shot Learning PT+MAP Accuracy 82.92% Leveraging the Feature Distribution in Transfer-based... sicara/easy-few-shot-learning +5 16 Compare
Few-Shot Image Classification Mini-Imagenet 10-way (1-shot) Transductive CNAPS + FETI Accuracy 68.5 Enhancing Few-Shot Image Classification with Unlabelled Examples peymanbateni/simple-cnaps +1 14 Compare
Few-Shot Image Classification Mini-Imagenet 10-way (5-shot) Transductive CNAPS + FETI Accuracy 85.9 Enhancing Few-Shot Image Classification with Unlabelled Examples peymanbateni/simple-cnaps +1 14 Compare
Few-Shot Class-Incremental Learning mini-Imagenet CoACT Last Accuracy 96.24 Few-shot Tuning of Foundation Models for... shuvenduroy/coact-fscil 12 Compare
Few-Shot Image Classification Mini-ImageNet-CUB 5-way (1-shot) TRIDENT Accuracy 84.61 Transductive Decoupled Variational Inference for... anujinho/trident 12 Compare
Few-Shot Image Classification Mini-ImageNet-CUB 5-way (5-shot) TRIDENT Accuracy 80.74 Transductive Decoupled Variational Inference for... anujinho/trident 8 Compare
Few-Shot Image Classification Mini-Imagenet 20-way (1-shot) TIM-GD Accuracy 39.3 Transductive Information Maximization For Few-Shot Learning sicara/easy-few-shot-learning +1 6 Compare
Few-Shot Image Classification Mini-Imagenet 20-way (5-shot) TIM-GD Accuracy 59.5 Transductive Information Maximization For Few-Shot Learning sicara/easy-few-shot-learning +1 6 Compare
Few-Shot Image Classification Mini-Imagenet 5-way (10-shot) PT+MAP Accuracy 90.03 Leveraging the Feature Distribution in Transfer-based... sicara/easy-few-shot-learning +5 5 Compare
Few-Shot Learning Mini-ImageNet - 5-Shot Learning BGNN Accuracy 92.7% — — 3 Compare
Few-Shot Learning Mini-Imagenet 5-way (1-shot) EASY (transductive) Accuracy 82.75 EASY: Ensemble Augmented-Shot Y-shaped Learning:... ybendou/easy +2 3 Compare
Few-Shot Image Classification Mini-ImageNet to CUB - 5 shot learning TIM-GD Accuracy 71 Transductive Information Maximization For Few-Shot Learning sicara/easy-few-shot-learning +1 2 Compare
Few-Shot Learning Mini-ImageNet - 1-Shot Learning HCTransformers Acc 74.74 Attribute Surrogates Learning and Spectral Tokens... stomachcold/hctransformers 2 Compare
Adversarial Defense miniImageNet Auto Encoder-Block Switching defense with GradCAM Accuracy 88.54 An integrated Auto Encoder-Block Switching defense... anirudh9784/Adversarial-Defense +1 1 Compare
Continual Learning miniImagenet CODE-CL Average Accuracy 68.83 CODE-CL: Conceptor-Based Gradient Projection for Deep... mapolinario94/CODE-CL 1 Compare
Cross-Domain Few-Shot miniImagenet Domain Agnostic Meta Score-based Learning Accuracy (%) 74.99% DAMSL: Domain Agnostic Meta Score-based Learning johncai117/DAMSL 1 Compare
Few-Shot Image Classification mini-ImageNet - 100-Way GCR Accuracy 39.14 Few-Shot Learning with Global Class Representations tiangeluo/fsl-global +1 1 Compare

Papers archive 2025-07-28

30 shown of 150 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1,345. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Geometric Mean Improves Loss For Few-Shot Learning 0 2 24 Jan 2025 not harvested
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning 1 1 21 Dec 2024 not harvested
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning 1 1 21 Nov 2024 not harvested
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms 1 2 12 Sep 2024 not harvested
The Balanced-Pairwise-Affinities Feature Transform 1 2 25 Jun 2024 not harvested
Few-shot Tuning of Foundation Models for Class-incremental Learning 1 1 26 May 2024 ran 6 of 10 samples (4 unverified)
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners 1 1 2 Apr 2024 ran 12 of 14 samples (2 unverified)
A Bag of Tricks for Few-Shot Class-Incremental Learning 0 1 21 Mar 2024 not harvested
BECLR: Batch Enhanced Contrastive Few-Shot Learning 1 2 4 Feb 2024 ran 1 of 1 samples (0 unverified)
Simple Semantic-Aided Few-Shot Learning 1 2 30 Nov 2023 ran 8 of 8 samples (0 unverified; 8 pointer-only for licence)
Context-Aware Meta-Learning 1 2 17 Oct 2023 ran 5 of 16 samples (11 unverified)
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation 1 2 28 Jul 2023 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Meta-DM: Applications of Diffusion Models on Few-Shot Learning 0 2 14 May 2023 not harvested
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning 1 2 26 Apr 2023 ran 0 of 1 samples (1 unverified; 1 pointer-only for licence)
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution 1 2 4 Apr 2023 not harvested
Meta-Learning with a Geometry-Adaptive Preconditioner 1 4 4 Apr 2023 ran 0 of 3 samples (3 unverified)
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning 0 1 27 Mar 2023 not harvested
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning 1 2 2 Mar 2023 not harvested
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning 1 2 20 Feb 2023 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning 1 1 2 Feb 2023 not harvested
Open-Set Likelihood Maximization for Few-Shot Learning 1 2 20 Jan 2023 not harvested
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification 1 2 1 Jan 2023 not harvested
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification 1 2 28 Nov 2022 not harvested
Invariant and consistent: Unsupervised representation learning for few-shot visual recognition 0 2 1 Nov 2022 not harvested
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space 1 2 21 Oct 2022 not harvested
Contrastive Prototypical Network with Wasserstein Confidence Penalty 1 2 21 Oct 2022 not harvested
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers 1 2 14 Oct 2022 not harvested
Self-Attention Message Passing for Contrastive Few-Shot Learning 1 2 12 Oct 2022 not harvested
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps 0 2 7 Oct 2022 not harvested
BaseTransformers: Attention over base data-points for One Shot Learning 1 1 5 Oct 2022 not harvested

The full list of 150 is in the JSON twin.

Dataset loaders archive 2025-07-28

learn2learn.netlearnables/learn2learnpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Few-Shot Image ClassificationFew-Shot LearningContinual LearningCross-Domain Few-ShotUnsupervised Few-Shot Image ClassificationFew-Shot Class-Incremental Learning

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Chinese

Variants archive 2025-07-28

  • Mini-ImageNet to CUB - 5 shot learning
  • Mini-ImageNet-CUB 5-way (5-shot)
  • Mini-ImageNet-CUB 5-way (1-shot)
  • Mini-Imagenet 5-way (5-shot)
  • Mini-Imagenet 5-way (1-shot)
  • Mini-Imagenet 5-way (1-shot)
  • Mini-Imagenet 5-way (10-shot)
  • Mini-ImageNet - 5-Shot Learning
  • Mini-Imagenet 20-way (5-shot)
  • Mini-Imagenet 20-way (1-shot)
  • Mini-ImageNet - 1-Shot Learning
  • Mini-Imagenet 10-way (5-shot)
  • Mini-Imagenet 10-way (1-shot)
  • mini-ImageNet - 100-Way
  • miniImagenet
  • mini-Imagenet

16 variant names, as the archive lists them.

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