|
gptkbp:instance_of
|
gptkb:swimming_pool
|
|
gptkbp:allows
|
Variable Input Sizes
|
|
gptkbp:can_be_combined_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_applied_in
|
Visual Recognition Tasks
|
|
gptkbp:is_beneficial_for
|
gptkb:stage_adaptation
Data Augmentation
Real-Time Applications
Model Generalization
Feature Aggregation
|
|
gptkbp:is_designed_to
|
Handle Scale Variations
|
|
gptkbp:is_evaluated_by
|
gptkb:Cityscapes_Dataset
gptkb:Image_Net
gptkb:ADE20_K_Dataset
gptkb:Pascal_VOC_Dataset
gptkb:COCO_Dataset
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
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:Computer_Vision
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_in
|
gptkb:2015
|
|
gptkbp:reduces
|
Overfitting
|
|
gptkbp:supports
|
Multi-Scale Features
|
|
gptkbp:used_in
|
gptkb:neural_networks
|
|
gptkbp:bfsParent
|
gptkb:YOLOv4
gptkb:Deep_Labv3+
|
|
gptkbp:bfsLayer
|
6
|