GitHub

Robust Real-time LiDAR-inertial Initialization

LI-Init is a robust, real-time initialization method for LiDAR-inertial system. The proposed method calibrates the temporal offset and extrinsic parameter between LiDARs and IMUs, and also the gravity ...
GitHub

Qdrant Java Client

Requires Java 8 or above. To install the library, add the following lines to your build config file. which creates a client that will connect to Qdrant on https ...
IEEE

Theoretical Convergence Analysis and Initialization Comparisons of Deep Soft-Thresholding Networks

Abstract: Soft-thresholding (ST) has been widely used in deep neural networks. Its fundamental network structure is a deep soft-thresholding fully connected network (ST-FCN). However, training deep ST ...
IEEE

Boosting Fast Adversarial Training With Learnable Adversarial Initialization

Abstract: Adversarial training (AT) has been demonstrated to be effective in improving model robustness by leveraging adversarial examples for training. However, most AT methods are in face of ...