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Few Shot Image Classification On Mini 3

評価指標

Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

Paper TitleRepository
SgVA-CLIP98.72SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
CAML [Laion-2b]98.6Context-Aware Meta-Learning
P>M>F (P=DINO-ViT-base, M=ProtoNet)98.4Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
TRIDENT95.95Transductive Decoupled Variational Inference for Few-Shot Classification
BAVARDAGE91.65Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification-
PEMnE-BMS*(transductive)91.53Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Transductive CNAPS + FETI91.5Enhancing Few-Shot Image Classification with Unlabelled Examples
PT+MAP+SF+SOT (transductive)91.34The Self-Optimal-Transport Feature Transform
PT+MAP+SF+BPA (transductive)91.34The Balanced-Pairwise-Affinities Feature Transform
AmdimNet90.98Self-Supervised Learning For Few-Shot Image Classification
Simple CNAPS + FETI90.3Improved Few-Shot Visual Classification
HCTransformers89.19Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Illumination Augmentation89.14Sill-Net: Feature Augmentation with Separated Illumination Representation
EASY 3xResNet12 (transductive)89.14EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
PT+MAP88.82Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
EASY 2xResNet12 1/√2 (transductive)88.57EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
EPNet + SSL88.05 Embedding Propagation: Smoother Manifold for Few-Shot Classification
EASY 3xResNet12 (inductive)87.15EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
CPEA87.06Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification-
SemFew-Trans86.49Simple Semantic-Aided Few-Shot Learning
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