Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Basketball_Player
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Deep_Labv3+
|
| gptkbp:allows |
Variable Input Sizes
|
| gptkbp:applies_to |
Visual Recognition Tasks
|
| gptkbp:benefits |
gptkb:streaming_service
Data Augmentation Real-Time Applications Model Generalization Feature Aggregation |
| gptkbp:can_be_used_with |
Fully Convolutional Networks
|
| gptkbp:developed_by |
gptkb:Kaiming_He
|
| gptkbp:enhances |
Model Robustness
|
| https://www.w3.org/2000/01/rdf-schema#label |
Spatial Pyramid Pooling
|
| gptkbp:improves |
Image Classification
Object Detection |
| gptkbp:is_designed_to |
Handle Scale Variations
|
| gptkbp:is_evaluated_by |
gptkb:Cityscapes_Dataset
gptkb:Image_Net gptkb:Pascal_VOC_Dataset gptkb:COCO_Dataset AD E20 K Dataset |
| gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:is_influenced_by |
Pyramid Pooling Module
|
| gptkbp:is_optimized_for |
Feature Maps
|
| gptkbp:is_part_of |
gptkb:Pattern_Recognition
gptkb:Deep_Learning Feature Learning Image Processing Techniques Image Analysis Techniques Neural Network Architectures Multi-Task Learning End-to-End Learning Systems Hierarchical Feature Extraction Visual Perception Systems |
| gptkbp:is_related_to |
gptkb:viewpoint
Feature Extraction Deep Neural Networks |
| gptkbp:is_similar_to |
Spatial Pooling
|
| gptkbp:is_used_for |
Image Segmentation
|
| gptkbp:is_used_in |
Instance Segmentation
Semantic Segmentation |
| gptkbp:is_utilized_in |
Object Tracking
Face Recognition Image Retrieval Scene Understanding Action Recognition |
| gptkbp:published_by |
gptkb:2015
|
| gptkbp:reduces |
Overfitting
|
| gptkbp:supports |
Multi-Scale Features
|
| gptkbp:used_in |
gptkb:television_channel
|