Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:createdBy |
Fei-Fei Li
|
| gptkbp:dataUsage |
gptkb:ImageNet
|
| gptkbp:firstHeld |
2010
|
| gptkbp:focusesOn |
image classification
|
| gptkbp:hasAnnualEvents |
yes
|
| gptkbp:hasCitations |
overfitting
model interpretability generalization computational cost data imbalance |
| gptkbp:hasCollaborationsWith |
universities
research institutions industry partners |
| gptkbp:hasEvents |
gptkb:ICLR
ICCV CVPR NeurIPS ECCV |
| gptkbp:hasFuturePlans |
gptkb:explainable_AI
unsupervised learning transfer learning few-shot learning self-supervised learning |
| gptkbp:hasGoals |
augmented reality
medical imaging robotics autonomous vehicles smart devices |
| gptkbp:hasImpactOn |
computer vision advancements
|
| gptkbp:hasNotablePerson |
gptkb:Microsoft
gptkb:Google gptkb:Facebook_AI_Research NVIDIA OpenAI |
| gptkbp:hasParticipatedIn |
researchers
|
| gptkbp:hasPublications |
research papers
conference proceedings technical reports theses |
| gptkbp:hasSibling |
efficiency
accuracy speed |
| https://www.w3.org/2000/01/rdf-schema#label |
ImageNet Challenge
|
| gptkbp:includes |
object detection
image segmentation |
| gptkbp:influenced |
deep learning
|
| gptkbp:notableEvent |
AlexNet_winning_in_2012
|
| gptkbp:sponsor |
gptkb:Stanford_University
|