Statements (74)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:microprocessor
|
| gptkbp:adapted_into |
gptkb:smartphone
|
| gptkbp:applies_to |
object detection
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
collaborative efforts |
| gptkbp:features |
multiple filter sizes
|
| gptkbp:has |
modular architecture
|
| gptkbp:has_achievements |
state-of-the-art performance
|
| https://www.w3.org/2000/01/rdf-schema#label |
Inception v4.2
|
| gptkbp:improves |
gptkb:Inception_v3
image classification |
| gptkbp:includes |
batch normalization
|
| gptkbp:is_adopted_by |
startups
industry applications |
| gptkbp:is_compared_to |
other architectures
|
| gptkbp:is_compatible_with |
Keras framework
|
| gptkbp:is_designed_for |
computer vision tasks
|
| gptkbp:is_documented_in |
research papers
|
| gptkbp:is_evaluated_by |
gptkb:COCO_dataset
performance metrics real-world scenarios validation datasets top-5 accuracy benchmark datasets research evaluations top-1 accuracy |
| gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
|
| gptkbp:is_influenced_by |
gptkb:Res_Net
|
| gptkbp:is_integrated_with |
gptkb:Cloud_Computing_Service
AI platforms |
| gptkbp:is_known_for |
flexibility
high accuracy high performance modularity robustness high efficiency |
| gptkbp:is_optimized_for |
GPU acceleration
|
| gptkbp:is_part_of |
gptkb:Model
AI competitions machine learning frameworks AI research initiatives computer vision solutions Inception family |
| gptkbp:is_popular_in |
gptkb:academic_circles
|
| gptkbp:is_recognized_by |
AI researchers
|
| gptkbp:is_supported_by |
academic institutions
community contributions open-source community |
| gptkbp:is_tested_for |
real-time applications
scalability adversarial attacks large-scale datasets various datasets |
| gptkbp:is_used_for |
video analysis
facial recognition image segmentation scene understanding |
| gptkbp:is_used_in |
augmented reality
deep learning research |
| gptkbp:is_utilized_in |
gptkb:Photographer
gptkb:robot self-driving cars social media applications e-commerce applications image retrieval. |
| gptkbp:performance |
image recognition tasks
|
| gptkbp:release_date |
gptkb:2016
|
| gptkbp:supports |
transfer learning
|
| gptkbp:training |
gptkb:Image_Net_dataset
data augmentation techniques |
| gptkbp:uses |
convolutional layers
|
| gptkbp:utilizes |
auxiliary classifiers
|
| gptkbp:bfsParent |
gptkb:Inception_v4
|
| gptkbp:bfsLayer |
7
|