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gptkbp:instance_of
|
gptkb:neural_networks
|
|
gptkbp:can_be_used_for
|
object detection
|
|
gptkbp:competes_with
|
gptkb:Res_Net
|
|
gptkbp:developed_by
|
Jie Hu
|
|
gptkbp:enhances
|
feature representation
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_impact_on
|
model accuracy
|
|
gptkbp:has_variants
|
SE-Res Ne Xt
SE-Res Net
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
SENet
|
|
gptkbp:improves
|
image classification
|
|
gptkbp:influenced_by
|
gptkb:Res_Ne_Xt
|
|
gptkbp:is_adopted_by
|
gptkb:Microsoft
gptkb:Google
gptkb:Facebook
|
|
gptkbp:is_applied_in
|
computer vision
|
|
gptkbp:is_compared_to
|
gptkb:Dense_Net
gptkb:VGGNet
|
|
gptkbp:is_discussed_in
|
gptkb:academic_journals
workshops
online forums
|
|
gptkbp:is_documented_in
|
gptkb:conference
research papers
technical reports
|
|
gptkbp:is_evaluated_by
|
gptkb:Image_Net
gptkb:CIFAR-10
gptkb:Pascal_VOC
gptkb:COCO_dataset
gptkb:CIFAR-100
Cityscapes
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Inception
gptkb:Mobile_Net
|
|
gptkbp:is_known_for
|
adaptive feature recalibration
|
|
gptkbp:is_optimized_for
|
computational efficiency
|
|
gptkbp:is_part_of
|
deep learning frameworks
AI research community
AI model zoo
CNN architectures
|
|
gptkbp:is_popular_in
|
gptkb:academic_research
industry applications
|
|
gptkbp:is_related_to
|
attention mechanisms
|
|
gptkbp:is_supported_by
|
gptkb:AMD
gptkb:NVIDIA
|
|
gptkbp:is_trained_in
|
large datasets
|
|
gptkbp:is_used_for
|
transfer learning
feature extraction
image generation
semantic segmentation
instance segmentation
|
|
gptkbp:is_used_in
|
augmented reality
self-driving cars
video analysis
facial recognition
scene understanding
medical image analysis
|
|
gptkbp:published_in
|
gptkb:2018
|
|
gptkbp:uses
|
squeeze-and-excitation blocks
|
|
gptkbp:bfsParent
|
gptkb:ILSVRC_2017
|
|
gptkbp:bfsLayer
|
8
|