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Found 6 papers, 2 papers with code
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
Fashion understanding is a hot topic in computer vision, with many applications having great business value in the market.
Cloud-native RStudio on Kubernetes for Hopsworks
We further enable secure data sharing in RStudio server instances to provide data privacy and allow collaboration among RStudio users.
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes
We have tested and evaluated our AICAB NET on the MS COCO dataset and a new proposed Fashion dataset.
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
To this end, in this paper, we explore the present and future of FL technology in medical applications where data sharing is a significant challenge.
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
In particular, we empirically study how different graph traversal order leads to different device placement, which in turn affects the training execution time.
Bandwidth-Aware Page Placement in NUMA
Page placement is a critical problem for memoryintensive applications running on a shared-memory multiprocessor with a non-uniform memory access (NUMA) architecture.
Distributed, Parallel, and Cluster Computing
