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Found 5 papers, 1 papers with code
Inferring DQN structure for high-dimensional continuous control
We propose a novel approach to infer the network structure for DQN models operating with high-dimensional continuous actions.
CharNeRF: 3D Character Generation from Concept Art
3D modeling holds significant importance in the realms of AR/VR and gaming, allowing for both artistic creativity and practical applications.
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection
It is indeed not trivial to derive hash functions that satisfy the so-called locality-sensitive property for the most advanced crash bucketing metrics.
Recovery of Meteorites Using an Autonomous Drone and Machine Learning
Those images can be analyzed using a machine learning classifier to identify meteorites in the field among many other features.
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data
This work introduces a novel strategy for generating synthetic training data for 2D and 3D pose estimation of animals using keyframe animations.
