TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/mini-Imagenet

mini-Imagenet

Introduced 2016-06-13

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.

Benchmarks

Class Incremental Learning/Last Accuracy Class Incremental Learning/Average AccuracyContinual Learning/Last Accuracy Continual Learning/Average Accuracy

Related Benchmarks

Mini-ImageNet - 1-Shot Learning/Few-Shot Image Classification/AccuracyMini-ImageNet - 1-Shot Learning/Few-Shot Learning/AccMini-ImageNet - 1-Shot Learning/Image Classification/AccuracyMini-ImageNet - 1-Shot Learning/Meta-Learning/AccMini-ImageNet - 10-Shot Learning/Few-Shot Learning/AccuracyMini-ImageNet - 10-Shot Learning/Meta-Learning/AccuracyMini-ImageNet - 20-Shot Learning/Few-Shot Learning/AccuracyMini-ImageNet - 20-Shot Learning/Meta-Learning/AccuracyMini-ImageNet - 5-Shot Learning/Few-Shot Learning/AccuracyMini-ImageNet - 5-Shot Learning/Meta-Learning/AccuracyMini-ImageNet to CUB - 5 shot learning/Few-Shot Image Classification/AccuracyMini-ImageNet to CUB - 5 shot learning/Image Classification/AccuracyMini-ImageNet, 1000 Labels/Image Classification/AccuracyMini-ImageNet, 1000 Labels/Semi-Supervised Image Classification/AccuracyMini-ImageNet, 10000 Labels/Image Classification/AccuracyMini-ImageNet, 10000 Labels/Semi-Supervised Image Classification/AccuracyMini-ImageNet, 4000 Labels/Image Classification/AccuracyMini-ImageNet, 4000 Labels/Semi-Supervised Image Classification/AccuracyMini-ImageNet-CUB 5-way (1-shot)/Few-Shot Image Classification/AccuracyMini-ImageNet-CUB 5-way (1-shot)/Image Classification/AccuracyMini-ImageNet-CUB 5-way (5-shot)/Few-Shot Image Classification/AccuracyMini-ImageNet-CUB 5-way (5-shot)/Image Classification/AccuracyMini-Imagenet 10-way (1-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 10-way (1-shot)/Image Classification/AccuracyMini-Imagenet 10-way (5-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 10-way (5-shot)/Image Classification/AccuracyMini-Imagenet 20-way (1-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 20-way (1-shot)/Image Classification/AccuracyMini-Imagenet 20-way (5-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 20-way (5-shot)/Image Classification/AccuracyMini-Imagenet 5-way (1-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 5-way (1-shot)/Few-Shot Learning/5 way 1~2 shotMini-Imagenet 5-way (1-shot)/Few-Shot Learning/AccuracyMini-Imagenet 5-way (1-shot)/Image Classification/AccuracyMini-Imagenet 5-way (1-shot)/Meta-Learning/5 way 1~2 shotMini-Imagenet 5-way (1-shot)/Meta-Learning/AccuracyMini-Imagenet 5-way (10-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 5-way (10-shot)/Image Classification/AccuracyMini-Imagenet 5-way (5-shot)/Few-Shot Image Classification/AccuracyMini-Imagenet 5-way (5-shot)/Image Classification/Accuracymini-ImageNet - 100-Way/Few-Shot Image Classification/Accuracymini-ImageNet - 100-Way/Image Classification/Accuracymini-ImageNet-LT/Few-Shot Image Classification/Error Ratemini-ImageNet-LT/Generalized Few-Shot Classification/Error Ratemini-ImageNet-LT/Generalized Few-Shot Learning/Error Ratemini-ImageNet-LT/Image Classification/Error Ratemini-ImageNet-LT/Long-tail Learning/Error Ratemini-Imagenet (20 tasks) - 1 epoch/Continual Learning/Accuracy

Statistics

Papers
1,345
Benchmarks
4

Links

Tasks

Class Incremental LearningContinual LearningCross-Domain Few-ShotFew-Shot Class-Incremental LearningFew-Shot Image ClassificationFew-Shot LearningUnsupervised Few-Shot Image Classification