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tieredImageNet

Introduced by Mengye Ren et al. in Meta-Learning for Semi-Supervised Few-Shot Classification1 Jan 2018 archive 2025-07-28

The tieredImageNet dataset is a larger subset of ILSVRC-12 with 608 classes (779,165 images) grouped into 34 higher-level nodes in the ImageNet human-curated hierarchy. This set of nodes is partitioned into 20, 6, and 8 disjoint sets of training, validation, and testing nodes, and the corresponding classes form the respective meta-sets. As argued in Ren et al. (2018), this split near the root of the ImageNet hierarchy results in a more challenging, yet realistic regime with test classes that are less similar to training classes.

Source: tieredImageNet Image Source: https://arxiv.org/pdf/1803.00676.pdf

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 7 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 Tiered ImageNet 5-way (5-shot) CAML [Laion-2b] Accuracy 98.8 Context-Aware Meta-Learning cfifty/CAML 51 Compare
Few-Shot Image Classification Tiered ImageNet 5-way (1-shot) CAML [Laion-2b] Accuracy 96.8 Context-Aware Meta-Learning cfifty/CAML 49 Compare
Few-Shot Image Classification Tiered ImageNet 10-way (1-shot) Transductive CNAPS + FETI Accuracy 65.1 Enhancing Few-Shot Image Classification with Unlabelled Examples peymanbateni/simple-cnaps +1 13 Compare
Few-Shot Image Classification Tiered ImageNet 10-way (5-shot) Transductive CNAPS + FETI Accuracy 80.6 Enhancing Few-Shot Image Classification with Unlabelled Examples peymanbateni/simple-cnaps +1 13 Compare
Unsupervised Few-Shot Image Classification Tiered ImageNet 5-way (1-shot) BECLR Accuracy 81.69 BECLR: Batch Enhanced Contrastive Few-Shot Learning stypoumic/beclr 12 Compare
Unsupervised Few-Shot Image Classification Tiered ImageNet 5-way (5-shot) BECLR Accuracy 87.86 BECLR: Batch Enhanced Contrastive Few-Shot Learning stypoumic/beclr 12 Compare
Image Classification Tiered ImageNet 5-way (5-shot) EGNN+Transduction Accuracy 80.15 Edge-labeling Graph Neural Network for Few-shot Learning khy0809/fewshot-egnn +3 7 Compare

Papers archive 2025-07-28

30 shown of 59 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 317. 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
BECLR: Batch Enhanced Contrastive Few-Shot Learning 1 2 4 Feb 2024 ran 1 of 1 samples (0 unverified)
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)
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)
Meta-Learning with a Geometry-Adaptive Preconditioner 1 4 4 Apr 2023 ran 0 of 3 samples (3 unverified)
Open-Set Likelihood Maximization for Few-Shot Learning 1 2 20 Jan 2023 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
Self-Attention Message Passing for Contrastive Few-Shot Learning 1 2 12 Oct 2022 not harvested
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning 1 2 27 Sep 2022 not harvested
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 0 2 18 Sep 2022 not harvested
Transductive Decoupled Variational Inference for Few-Shot Classification 1 2 22 Aug 2022 ran 2 of 8 samples (6 unverified)
Self-Supervision Can Be a Good Few-Shot Learner 4 4 19 Jul 2022 ran 3 of 10 samples (7 unverified)
Rethinking Generalization in Few-Shot Classification 1 2 15 Jun 2022 ran 2 of 3 samples (1 unverified; 3 pointer-only for licence)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 1 2 17 Mar 2022 ran 4 of 5 samples (1 unverified)
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients 3 8 24 Jan 2022 not harvested
Multi-level Second-order Few-shot Learning 1 2 15 Jan 2022 not harvested
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning 2 2 11 Jan 2022 not harvested
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 1 2 18 Oct 2021 not harvested
Sparse Spatial Transformers for Few-Shot Learning 1 2 27 Sep 2021 ran 0 of 6 samples (6 unverified)
Relational Embedding for Few-Shot Classification 1 2 22 Aug 2021 ran 11 of 13 samples (2 unverified)
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 1 4 22 Jun 2021 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation 1 2 16 Jun 2021 ran 1 of 10 samples (9 unverified)
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images 0 2 25 May 2021 not harvested
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 1 2 1 Mar 2021 ran 1 of 1 samples (0 unverified)
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition 2 2 8 Jan 2021 ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2 2 13 Dec 2020 not harvested
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks 1 2 30 Nov 2020 not harvested
Match Them Up: Visually Explainable Few-shot Image Classification 1 4 25 Nov 2020 not harvested

The full list of 59 is in the JSON twin.

Dataset loaders archive 2025-07-28

learn2learn.netlearnables/learn2learnpytorch
sicara/easy-few-shot-learningpytorch
yaoyao-liu/tiered-imagenet-tools

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

Tasks archive 2025-07-28

Image ClassificationFew-Shot Image ClassificationUnsupervised Few-Shot Image Classification

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Tiered ImageNet 5-way (1-shot)
  • Tiered ImageNet 5-way (5-shot)
  • tieredImageNet
  • Tiered ImageNet 10-way (1-shot)
  • Tiered ImageNet 10-way (5-shot)

5 variant names, as the archive lists them.

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