Few-Shot Image Classification on CIFAR-FS 5-way (1-shot)

76개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	Extra Training Data	Paper	Code	Year
1	PT+MAP+SF+SOT (transductive)	89.94		The Self-Optimal-Transport Feature Transform	danielshalam/bpa	2022
1	PT+MAP+SF+BPA (transductive)	89.94		The Balanced-Pairwise-Affinities Feature Transform	danielshalam/bpa	2024
3	PEMnE-BMS*	88.44		Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning	yhu01/bms	2021
4	LST+MAP	87.79		Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network	ctom2/latent-space-transform	2021
5	Illumination Augmentation	87.73		Sill-Net: Feature Augmentation with Separated Illumination Representation	lanfenghuanyu/Sill-Net	2021
6	PT+MAP	87.69		Leveraging the Feature Distribution in Transfer-based Few-Shot Learning	sicara/easy-few-shot-learning · yhu01/PT-MAP · yhu01/bms · +3	2020
7	BAVARDAGE	87.35		Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification		2022
8	EASY 3xResNet12 (transductive)	87.16		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
9	EASY 2xResNet12 1/√2 (transductive)	86.99		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	P>M>F (P=DINO-ViT-base, M=ProtoNet)	84.3	✓	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference	hushell/pmf_cvpr22	2022
11	CAML [Laion-2b]	83.3	✓	Context-Aware Meta-Learning	cfifty/CAML	2023
12	pseudo-shots	81.87		Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks	BatsResearch/efsl · Reza-esfandiarpoor/pseudo-shots	2020
13	SIB	80.0		Empirical Bayes Transductive Meta-Learning with Synthetic Gradients	amzn/xfer · hushell/sib_meta_learn	2020
14	HCTransformers	78.89		Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning	stomachcold/hctransformers	2022
15	Adaptive Subspace Network	78		Adaptive Subspaces for Few-Shot Learning	chrysts/dsn_fewshot	2020
16	Invariance-Equivariance	77.87		Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning	nayeemrizve/invariance-equivariance	2021
17	FewTURE	77.76		Rethinking Generalization in Few-Shot Classification	mrkshllr/FewTURE	2022
18	R2-D2+Task Aug	77.66		Task Augmentation by Rotating for Meta-Learning	AceChuse/TaskLevelAug	2020
19	SKD	76.9		Self-supervised Knowledge Distillation for Few-shot Learning	brjathu/SKD · yiren-jian/embedding-learning-fsl	2020
20	MetaOptNet-SVM+Task Aug	76.75		Task Augmentation by Rotating for Meta-Learning	AceChuse/TaskLevelAug	2020
21	ICI	76.51		Instance Credibility Inference for Few-Shot Learning	Yikai-Wang/ICI-FSL	2020
22	EASY 3xResNet12 (inductive)	76.2		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
23	MetaQDA	75.83		Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition	open-debin/bayesian_mqda · Open-Debin/MetaQDA_Pub	2021
24	ConstellationNets	75.4		Constellation Nets for Few-Shot Learning	mlpc-ucsd/ConstellationNet	2021
25	EASY 2xResNet12 1/√2 (inductive)	75.24		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
26	S2M2R	74.81		Charting the Right Manifold: Manifold Mixup for Few-shot Learning	ShuoYang-1998/Few_Shot_Distribution_Calibration · ShuoYang-1998/ICLR2021-Oral_Distribution_Calibration · yhu01/PT-MAP · +5	2019
27	MCRNet-SVM	74.7		Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach	GuChenghs/MCRNet	2020
28	RENet	74.51		Relational Embedding for Few-Shot Classification	dahyun-kang/renet	2021
29	SSFormers	74.5		Sparse Spatial Transformers for Few-Shot Learning	chenhaoxing/ssformers	2021
30	MCRNet-RR	73.8		Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach	GuChenghs/MCRNet	2020
31	ACC + Amphibian	73.1		Generalized Adaptation for Few-Shot Learning		2019
32	MetaOptNet-SVM-trainval	72.8		Meta-Learning with Differentiable Convex Optimization	learnables/learn2learn · cyvius96/few-shot-meta-baseline · yinboc/few-shot-meta-baseline · +4	2019
33	GML (ResNet-12)	71.09		Geometric Mean Improves Loss For Few-Shot Learning		2025
34	Multi-Task Learning	69.5		Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation	AI-secure/multi-task-learning	2021
35	RCN - ResNet12	69.02		Region Comparison Network for Interpretable Few-shot Image Classification	chrisyxue/RCN_for_Interpretable_few_shot	2020
36	MTUNet+WRN	68.34		Match Them Up: Visually Explainable Few-shot Image Classification	wbw520/MTUNet	2020
37	MTUNet+ResNet-18	66.31		Match Them Up: Visually Explainable Few-shot Image Classification	wbw520/MTUNet	2020
38	RCN - Conv4-64	61.61		Region Comparison Network for Interpretable Few-shot Image Classification	chrisyxue/RCN_for_Interpretable_few_shot	2020
39	PT+MAP+SF+SOT (transductive)	89.94		The Self-Optimal-Transport Feature Transform	danielshalam/bpa	2022
39	PT+MAP+SF+BPA (transductive)	89.94		The Balanced-Pairwise-Affinities Feature Transform	danielshalam/bpa	2024
41	PEMnE-BMS*	88.44		Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning	yhu01/bms	2021
42	LST+MAP	87.79		Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network	ctom2/latent-space-transform	2021
43	Illumination Augmentation	87.73		Sill-Net: Feature Augmentation with Separated Illumination Representation	lanfenghuanyu/Sill-Net	2021
44	PT+MAP	87.69		Leveraging the Feature Distribution in Transfer-based Few-Shot Learning	sicara/easy-few-shot-learning · yhu01/PT-MAP · yhu01/bms · +3	2020
45	BAVARDAGE	87.35		Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification		2022
46	EASY 3xResNet12 (transductive)	87.16		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
47	EASY 2xResNet12 1/√2 (transductive)	86.99		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
48	P>M>F (P=DINO-ViT-base, M=ProtoNet)	84.3	✓	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference	hushell/pmf_cvpr22	2022
49	CAML [Laion-2b]	83.3	✓	Context-Aware Meta-Learning	cfifty/CAML	2023
50	pseudo-shots	81.87		Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks	BatsResearch/efsl · Reza-esfandiarpoor/pseudo-shots	2020