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SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing
To facilitate further training and evaluation of DL-based models, we introduce a novel dataset, SPADES, comprising real event data acquired in a controlled laboratory environment and simulated event data using the same camera intrinsics.
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
The primary goal of this survey is to describe the current DL-based methods for spacecraft pose estimation in a comprehensive manner.
3D-Aware Object Localization using Gaussian Implicit Occupancy Function
We then propose to have a new look at ellipse regression and replace the discontinuous geometric ellipse parameters with the parameters of an implicit Gaussian distribution encoding object occupancy in the image.
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
In this paper, a discriminator-free adversarial-based Unsupervised Domain Adaptation (UDA) for Multi-Label Image Classification (MLIC) referred to as DDA-MLIC is proposed.
Multi-Label Image Classification
Unsupervised Domain Adaptation
Lessons from a Space Lab -- An Image Acquisition Perspective
From the lessons learned during the lab development, this article presents a systematic approach combining market survey and experimental analyses for equipment selection.
