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Found 8 papers, 1 papers with code
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization
In this paper, we are interested in building a domain knowledge based deep learning framework to solve the chiller plants energy optimization problems.
Zero-Shot Instance Segmentation
We follow this motivation and propose a new task set named zero-shot instance segmentation (ZSI).
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived.
AinnoSeg: Panoramic Segmentation with High Perfomance
Panoramic segmentation is a scene where image segmentation tasks is more difficult.
Regression via Arbitrary Quantile Modeling
In the regression problem, L1 and L2 are the most commonly used loss functions, which produce mean predictions with different biases.
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
Without the constraint imposed by the hand-designed heuristics, our searched networks contain more flexible and meaningful architectures that existing weight sharing based NAS approaches are not able to discover.
Accurate Face Detection for High Performance
Face detection has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs).
Ranked #1 on
Face Detection
on WIDER Face (Easy)
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution
Recently, deep neural networks have achieved impressive performance in terms of both reconstruction accuracy and efficiency for single image super-resolution (SISR).
