Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Few-Shot_Learning
gptkb:one-shot_learning |
| gptkbp:challenges |
model training
|
| gptkbp:collaborated_with |
academic projects
|
| gptkbp:consists_of |
gptkb:Image_Net
|
| gptkbp:contains |
60,000 images
100 classes |
| gptkbp:created_by |
Vinyals et al.
|
| gptkbp:developed_by |
gptkb:Image_Net
|
| gptkbp:has_label |
balanced
|
| gptkbp:has_variants |
gptkb:Mini_Image_Net-1_K
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mini Image Net
|
| gptkbp:introduced |
gptkb:2016
|
| gptkbp:is_adopted_by |
deep learning frameworks
|
| gptkbp:is_analyzed_in |
experiments
model performance performance studies few-shot learning algorithms |
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_cited_in |
numerous studies
thesis papers |
| gptkbp:is_compared_to |
gptkb:Image_Net
gptkb:CUB-200-2011 gptkb:CIFAR-100 |
| gptkbp:is_designed_for |
generalization tasks
|
| gptkbp:is_discussed_in |
conferences
|
| gptkbp:is_divided_into |
test set
validation set train set |
| gptkbp:is_documented_in |
class labels
|
| gptkbp:is_evaluated_by |
accuracy
cross-validation various metrics few-shot tasks |
| gptkbp:is_incorporated_in |
machine learning competitions
AI curricula |
| gptkbp:is_part_of |
few-shot learning benchmarks
meta-dataset |
| gptkbp:is_popular_in |
machine learning community
benchmarking algorithms |
| gptkbp:is_referenced_in |
research articles
academic literature |
| gptkbp:is_related_to |
gptkb:Omniglot
|
| gptkbp:is_supported_by |
research funding
|
| gptkbp:is_tested_for |
various models
transfer learning techniques other datasets |
| gptkbp:is_used_for |
model evaluation
data augmentation few-shot learning |
| gptkbp:is_used_in |
research papers
computer vision transfer learning |
| gptkbp:is_utilized_in |
algorithm development
feature extraction image classification tasks AI researchers neural network training |
| gptkbp:performance |
image recognition
few-shot classification |
| gptkbp:provides |
class prototypes
|
| gptkbp:resolution |
84x84 pixels
|
| gptkbp:supports |
meta-learning
|