Few-Shot Image Classification on CUB 200 5-way 1-shot

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Accuracy

Rank	Model	Accuracy	Extra Training Data	Paper	Code	Year
1	PT+MAP+SF+SOT (transductive)	95.80		The Self-Optimal-Transport Feature Transform	danielshalam/bpa	2022
1	CAML [Laion-2b]	95.8	✓	Context-Aware Meta-Learning	cfifty/CAML	2023
1	PT+MAP+SF+BPA (transductive)	95.80		The Balanced-Pairwise-Affinities Feature Transform	danielshalam/bpa	2024
4	PT+MAP+SF (transductive)	95.48		Few-Shot Learning by Integrating Spatial and Frequency Representation	xiangyu8/PT-MAP-sf	2021
5	PEMnE-BMS*	94.78	✓	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning	yhu01/bms	2021
6	Illumination Augmentation	94.73		Sill-Net: Feature Augmentation with Separated Illumination Representation	lanfenghuanyu/Sill-Net	2021
7	LST+MAP	91.68		Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network	ctom2/latent-space-transform	2021
8	PT+MAP	91.55%		Leveraging the Feature Distribution in Transfer-based Few-Shot Learning	sicara/easy-few-shot-learning · yhu01/PT-MAP · yhu01/bms · +3	2020
9	EASY 3xResNet12 (transductive)	90.56		EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients	ybendou/easy · brain-bzh/pefsl · ybendou/fs-generalization	2022
10	EASY 4xResNet12 (transductive)	90.5		EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients	ybendou/easy · brain-bzh/pefsl · ybendou/fs-generalization	2022