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SOTA
Few Shot Image Classification
Few Shot Image Classification On Tiered
Few Shot Image Classification On Tiered
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Accuracy
Paper Title
Repository
TapNet
63.08
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
DiffKendall (Meta-Baseline, ResNet-12)
70.76
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
CAML [Laion-2b]
96.8
Context-Aware Meta-Learning
-
HCTransformers
79.67
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Adaptive Subspace Network
68.44
Adaptive Subspaces for Few-Shot Learning
LST
77.7
Learning to Self-Train for Semi-Supervised Few-Shot Classification
BD-CSPN + ESFR (ResNet-18)
80.13
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
RENet
71.61
Relational Embedding for Few-Shot Classification
ASY ResNet12 (transductive)
83.98
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
MTUNet+WRN
62.42
Match Them Up: Visually Explainable Few-shot Image Classification
TIM-GD
82.1
Transductive Information Maximization For Few-Shot Learning
EASY 3xResNet12 (inductive)
74.71
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
GML (ResNet-12)
69.61
Geometric Mean Improves Loss For Few-Shot Learning
-
ASY ResNet12 (ours)
74.31
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
SImPa
70.82
PAC-Bayes meta-learning with implicit task-specific posteriors
Deep Comparison Network
68.83
RelationNet2: Deep Comparison Columns for Few-Shot Learning
AM3-TADAM
69.08
Adaptive Cross-Modal Few-Shot Learning
Transductive CNAPS
65.9
Enhancing Few-Shot Image Classification with Unlabelled Examples
Simple CNAPS + FETI
71.4
Improved Few-Shot Visual Classification
BAVARDAGE
85.20
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
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