IEEE

From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial–Channel Augmentation for Hyperspectral Images

Abstract: Deep learning (DL) approaches have been extensively applied to change detection in hyperspectral images (HSIs). However, the majority of them encounter scarcity of training samples or rely ...
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 ...
IEEE

A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization

Abstract: We propose a novel visual-inertial odometry (VIO) initialization method, which decouples rotation and translation estimation, and achieves higher efficiency and better robustness. Existing ...
GitHub

JASM - A JVM Assembler for the modern age

JASM is an assembler/disassembler for JVM bytecode. It provides a nice syntax for writing JVM classes in a bytecode-focused assembly language, and can also disassemble any Java .class file to JASM ...