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Found 3 papers, 2 papers with code
Deep Reinforcement Learning for Autonomous Driving
To deal with these challenges, we first adopt the deep deterministic policy gradient (DDPG) algorithm, which has the capacity to handle complex state and action spaces in continuous domain.
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
It presents two main contributions to traditional GANs: 1) a soft gradient-sensitive objective for keeping semantic boundaries; 2) a semantic-aware discriminator for validating the fidelity of personalized adaptions with respect to each semantic region.
Deep Convolutional Neural Network for 6-DOF Image Localization
We present an accurate and robust method for six degree of freedom image localization.
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