This short notebook visualizes and briefly explains the difference between the allocentric and the egocentric pose of an object, as used frequently in machine learning papers.
TAMPAR: Tampering detection for parcel logistics from our WACV '24 paper "TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains"
CubeRefine R-CNN: architecture for 3D Reconstruction for potentially damaged parcels from our CVPRW '23 paper "Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics"
lanelet2anchors: pip package for the generation of diverse map-based anchor paths from our CVPRW' 23 paper "Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-based Anchor Paths"
Repos of paper "Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics"