OpenCodePapers

few-shot-image-classification-on-mini-1

Few-Shot Image Classification
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PaperCodeAccuracyModelNameReleaseDate
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning✓ Link82.92%PT+MAP2020-06-06
Meta-Learned Confidence for Few-shot Learning✓ Link78.55%MCT2020-02-27
Embedding Propagation: Smoother Manifold for Few-Shot Classification✓ Link77.27%EPNet2020-03-09
Self-Supervised Learning For Few-Shot Image Classification✓ Link76.82%AmdimNet2019-11-14
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification✓ Link76.47%Transfer+SGC2020-01-27
BaseTransformers: Attention over base data-points for One Shot Learning✓ Link70.88%BaseTransformers (Inductive)2022-10-05
Prototype Rectification for Few-Shot Learning✓ Link70.31%BD-CSPN2019-11-25
[]()70.0%SIB
Baby steps towards few-shot learning with multiple semantics67.2%Multiple-semantics2019-06-05
Task Augmentation by Rotating for Meta-Learning✓ Link65.95%R2-D2+Task Aug2020-02-08
Task Augmentation by Rotating for Meta-Learning✓ Link65.38%MetaOptNet-SVM+Task Aug2020-02-08
Negative Margin Matters: Understanding Margin in Few-shot Classification✓ Link63.85Neg-Margin2020-03-26
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification✓ Link63.73%DivCoop2019-03-27
Few-Shot Learning with Global Class Representations✓ Link53.21GCR2019-08-14
HyperShot: Few-Shot Learning by Kernel HyperNetworks✓ Link53.18%HyperShot2022-03-21
Probabilistic Model-Agnostic Meta-Learning✓ Link50.13%PLATIPUS2018-06-07
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