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Found 6 papers, 3 papers with code
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests
With the rapid development of cloud computing, virtual machine scheduling has become one of the most important but challenging issues for the cloud computing community, especially for practical heterogeneous request sequences.
Gleo-Det: Deep Convolution Feature-Guided Detector with Local Entropy Optimization for Salient Points
3) With the guidance of convolution features, we define the cost function from both positive and negative sides.
VMAgent: Scheduling Simulator for Reinforcement Learning
A novel simulator called VMAgent is introduced to help RL researchers better explore new methods, especially for virtual machine scheduling.
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
In recent years, deep learning-based methods have shown promising results in computer vision area.
Ranked #1 on
Scene Text Recognition
on MSDA
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective target areas.
Ranked #1 on
Thermal Infrared Pedestrian Detection
on LLVIP
