Res Ne Xt-101

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:television_channel
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Res_Ne_Xt
gptkbp:architectural_style gptkb:Deep_Learning
gptkbp:based_on gptkb:Res_Net
Inception Modules
gptkbp:coat_of_arms gptkb:101
gptkbp:competes_with gptkb:Dense_Net
gptkbp:contributed_to gptkb:streaming_service
gptkbp:developed_by gptkb:Facebook_AI_Research
gptkbp:features Cardinality
gptkbp:has_achievements State-of-the-art results
gptkbp:has_method 88 million
https://www.w3.org/2000/01/rdf-schema#label Res Ne Xt-101
gptkbp:image_stabilization 77.6% Top-1
94.0% Top-5
gptkbp:improves Res Net performance
gptkbp:introduced gptkb:2017
gptkbp:is_adopted_by Research Institutions
Tech Companies
gptkbp:is_designed_for High Performance
gptkbp:is_evaluated_by gptkb:CIFAR-10
gptkb:Fashion_MNIST
gptkb:CIFAR-100
PASCALVOC
MSCOCO
Street View House Numbers
gptkbp:is_implemented_in gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
gptkbp:is_influenced_by gptkb:Goog_Le_Net
VGG Net
gptkbp:is_known_for Scalability
Low Latency
High Accuracy
gptkbp:is_optimized_for GPU Training
gptkbp:is_part_of gptkb:Res_Ne_Xt_Family
Deep Learning Frameworks
AI Research Community
gptkbp:is_popular_in Computer Vision Community
gptkbp:is_supported_by Open Source Libraries
gptkbp:is_used_for Image Classification
gptkbp:is_used_in gptkb:Autonomous_Vehicles
Object Detection
Facial Recognition
Medical Imaging
Real-time Applications
Video Analysis
Semantic Segmentation
Image Recognition Tasks
gptkbp:predecessor gptkb:Res_Ne_Xt-50
gptkbp:successor gptkb:Res_Ne_Xt-152
gptkbp:supports Multi-Label Classification
gptkbp:training gptkb:Image_Net_Dataset
Data Augmentation Techniques
gptkbp:uses Split-Transform-Merge strategy
gptkbp:utilizes gptkb:Batch_Normalization
Residual Connections