Statements (78)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Detectron2
|
| gptkbp:adapted_into |
different domains
|
| gptkbp:applies_to |
gptkb:sports_team
human pose estimation |
| gptkbp:based_on |
gptkb:Mask_R-CNN
|
| gptkbp:can_be_extended_by |
3 D pose estimation
|
| gptkbp:can_be_used_with |
object detection and keypoint detection
|
| gptkbp:collaborated_with |
open-source projects
technology companies other AI technologies |
| gptkbp:developed_by |
gptkb:Facebook_AI_Research
collaborative research efforts |
| gptkbp:enhances |
instance segmentation
|
| gptkbp:has_achievements |
state-of-the-art results
|
| https://www.w3.org/2000/01/rdf-schema#label |
Keypoint R-CNN
|
| gptkbp:improves |
object detection accuracy
|
| gptkbp:input_output |
keypoint locations
|
| gptkbp:introduced |
gptkb:2018
|
| gptkbp:is_adopted_by |
industry professionals
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_compatible_with |
transfer learning
|
| gptkbp:is_documented_in |
research papers
|
| gptkbp:is_enhanced_by |
new algorithms
|
| gptkbp:is_evaluated_by |
gptkb:COCO_dataset
performance metrics peer reviews user studies cross-validation techniques mean Average Precision (m AP) other pose estimation methods |
| gptkbp:is_implemented_in |
gptkb:Py_Torch
|
| gptkbp:is_influenced_by |
gptkb:Faster_R-CNN
|
| gptkbp:is_influential_in |
AI research community
|
| gptkbp:is_integrated_with |
gptkb:software
cloud computing platforms other AI models |
| gptkbp:is_optimized_for |
real-time applications
|
| gptkbp:is_part_of |
AI research initiatives
AI and machine learning frameworks computer vision research AI toolkits AI development projects deep learning ecosystem |
| gptkbp:is_promoted_by |
online courses
conferences and workshops social media channels |
| gptkbp:is_recognized_by |
AI organizations
|
| gptkbp:is_recognized_for |
its contributions to AI.
advancements in pose estimation |
| gptkbp:is_related_to |
gptkb:television_channel
|
| gptkbp:is_supported_by |
gptkb:document
academic institutions community contributions community forums |
| gptkbp:is_tested_for |
academic settings
real-world applications baseline models various image datasets |
| gptkbp:is_used_by |
researchers and developers
|
| gptkbp:is_used_for |
image analysis
image segmentation tasks |
| gptkbp:is_used_in |
autonomous driving systems
augmented reality applications |
| gptkbp:is_utilized_in |
video analysis
healthcare applications robotics applications security applications |
| gptkbp:performance |
human-computer interaction
pose estimation tasks |
| gptkbp:provides |
keypoint heatmaps
|
| gptkbp:recognizes |
multiple keypoints
|
| gptkbp:requires |
annotated training data
|
| gptkbp:supports |
multi-task learning
|
| gptkbp:training |
large-scale datasets
|
| gptkbp:uses |
deep learning
|
| gptkbp:utilizes |
region proposal networks
|