Vision Transformers

URI: https://gptkb.org/entity/Vision_Transformers
GPTKB entity
Statements (63)
Predicate Object
gptkbp:instance_of gptkb:microprocessor
gptkbp:bfsLayer 4
gptkbp:bfsParent gptkb:CVPR_Conference
gptkb:GLUE_benchmark
gptkbp:applies_to gptkb:viewpoint
Computer Vision Tasks
gptkbp:based_on gptkb:Transformer_Architecture
gptkbp:challenges Memory Usage
Training Time
Computational Cost
gptkbp:competes_with gptkb:television_channel
gptkbp:developed_by gptkb:Google_Research
gptkbp:enhances Feature Extraction
gptkbp:has_achievements State-of-the-art Performance
Image Recognition Tasks
gptkbp:has_variants gptkb:Dei_T
gptkb:Swin_Transformer
gptkb:Vi_T
https://www.w3.org/2000/01/rdf-schema#label Vision Transformers
gptkbp:introduced gptkb:2020
gptkbp:is_adopted_by gptkb:film_production_company
Academia
gptkbp:is_compared_to gptkb:television_channel
gptkbp:is_designed_for Image Classification
gptkbp:is_effective_against Multi-Task Learning
gptkbp:is_evaluated_by gptkb:smartphone
gptkb:Cloud_Computing_Service
gptkb:CIFAR-10_Dataset
gptkb:COCO_Dataset
gptkb:Image_Net_Dataset
Real-Time Applications
gptkbp:is_explored_in gptkb:Few-Shot_Learning
gptkb:Zero-Shot_Learning
Explainability
Model Compression
Adversarial Robustness
gptkbp:is_influenced_by gptkb:Deep_Learning
Attention Mechanism
gptkbp:is_integrated_with Ensemble Methods
Hybrid Models
Other AI Models
gptkbp:is_popular_in gptkb:Research_Institute
gptkbp:is_promoted_by Online Courses
Research Institutions
Tech Companies
gptkbp:is_related_to gptkb:software
gptkb:software_framework
Generative Models
gptkbp:is_scalable High-Resolution Images
gptkbp:is_supported_by Conferences
Research Papers
Open Source Frameworks
Pretrained Models
gptkbp:is_used_for Image Classification
gptkbp:is_used_in gptkb:Autonomous_Vehicles
Facial Recognition
Medical Imaging
gptkbp:performance gptkb:streaming_service
gptkbp:requires Large Datasets
gptkbp:training Limited Labeled Data
gptkbp:uses Self-Attention Mechanism
gptkbp:utilizes Self-Attention Mechanism
Patch Embedding