Unsupervised Few Shot Image Classification On 1

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
HMS	75.77	Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
Meta-SVEBM	58.03	Unsupervised Meta-Learning via Latent Space Energy-based Model of Symbol Vector Coupling	-
U-MlSo+PN	55.38	Multi-level Second-order Few-shot Learning
CPNWCP	73.21	Contrastive Prototypical Network with Wasserstein Confidence Penalty
UniSiam	83.40	Self-Supervision Can Be a Good Few-Shot Learner
LF2CS	67.36	Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
ArL	57.01	Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
TrainProto	73.94	Trainable Class Prototypes for Few-Shot Learning	-
UBC-FSL	77.2	Shot in the Dark: Few-Shot Learning with No Base-Class Labels	-
CSSL	68.91	Few-Shot Image Classification via Contrastive Self-Supervised Learning	-
UMTRA	50.73	Unsupervised Meta-Learning For Few-Shot Image Classification	-
AAL	49.18	Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation	-
SAMPTransfer (Conv4)	72.52	Self-Attention Message Passing for Contrastive Few-Shot Learning
Meta-GMVAE	55.73	Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
C^3LR	64.81	Self-Supervised Class-Cognizant Few-Shot Classification
CMVAE	58.95	CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Meta-DM+UniSiam	85.29	Meta-DM: Applications of Diffusion Models on Few-Shot Learning	-
PsCo	63.26	Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
InCo	56.96	Invariant and consistent: Unsupervised representation learning for few-shot visual recognition	-
BECLR	87.82	BECLR: Batch Enhanced Contrastive Few-Shot Learning

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