Properties (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:challenges |
classification
|
| gptkbp:class |
1000
|
| gptkbp:community |
AI and machine learning community
|
| gptkbp:contribution |
popularization of convolutional neural networks
|
| gptkbp:dataTransmission |
training, validation, and test sets
|
| gptkbp:dataUsage |
gptkb:ImageNet_dataset
|
| gptkbp:evaluates |
top-5 error rate
|
| gptkbp:focus |
image classification
|
| https://www.w3.org/2000/01/rdf-schema#label |
ILSVRC 2015
|
| gptkbp:image |
over 1.2 million
|
| gptkbp:impact |
advancement in deep learning
|
| gptkbp:judgingCriteria |
single model and ensemble methods
|
| gptkbp:location |
Worldwide
|
| gptkbp:notable_event |
sub-3% top-5 error rate
|
| gptkbp:notableModels |
VGGNet
DenseNet Inception-v3 |
| gptkbp:organizer |
ImageNet_team
|
| gptkbp:participants |
researchers and companies
|
| gptkbp:predecessor |
gptkb:ILSVRC_2014
|
| gptkbp:relatedEvent |
CVPR 2016
ICCV 2015 NeurIPS 2015 |
| gptkbp:research_focus |
gptkb:explainable_AI
data privacy unsupervised learning AI applications data augmentation model interpretability transfer learning multi-task learning regularization techniques feature extraction fine-tuning hyperparameter optimization AI deployment adversarial training semi-supervised learning ensemble learning AI accountability AI fairness AI transparency model compression self-supervised learning AI scalability AI efficiency AI sustainability AI robustness ethical_AI |
| gptkbp:significance |
benchmark for image recognition
|
| gptkbp:sponsor |
various tech companies
|
| gptkbp:submissionDeadline |
model predictions
|
| gptkbp:successor |
ILSVRC_2016
|
| gptkbp:type |
computer vision competition
|
| gptkbp:winner |
gptkb:ResNet
|
| gptkbp:year |
2015
|