Search Results for author:
Found 6 papers, 2 papers with code
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
In this work, we focus on leveraging the properties of semantic graphs to enhance HGNN performance.
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
This paper discusses horizontal POD resources management in Alibaba Cloud Container Services with a newly deployed AI algorithm framework named AHPA -- the adaptive horizontal pod auto-scaling system.
Automatic Sparse Connectivity Learning for Neural Networks
In this work, we propose a new automatic pruning method - Sparse Connectivity Learning (SCL).
Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search
Ours is suitable for large-scale datasets, and experimental results show that our method is 82% faster than the violent retrieval for the single-frame detection.
Top-Related Meta-Learning Method for Few-Shot Object Detection
Therefore, based on semantic features, we propose a Top-C classification loss (i. e., TCL-C) for classification task and a category-based grouping mechanism for category-based meta-features obtained by the meta-model.
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
They cannot detect objects by semantic features, adaptively.
