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Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
The translational equivariant nature of Convolutional Neural Networks (CNNs) is a reason for its great success in computer vision.
Portfolio Management with Reinforcement Learning
Portfolio management is a crucial trading task for investment companies in the market.
Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture
To improve the performance of small head detection, we propose a cascaded multi-scale architecture which has two detectors.
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