Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

Author:

Naumann Alexander1,Hertlein Felix1,Zhou Benchun2,Dorr Laura1,Furmans Kai2

Affiliation:

1. FZI Research Center for Information Technology,Karlsruhe,Germany

2. Karlsruhe Institute of Technology (KIT),Institute for Material Handling and Logistics,Karlsruhe,Germany

Funder

Ministry of Education

Publisher

IEEE

Reference26 articles.

1. Fully-Automated Packaging Structure Recognition in Logistics Environments

2. Ladungsträgerzahlung per Smartphone;hinxlage;Jahresbericht Fraunhofer IML,2018

3. Semantically-enriched 3D models for common-sense knowledge

4. Tetra-PackNet: Four-Corner-Based Object Detection in Logistics Use-Cases;dörr;DAGM German Conference on Pattern Recognition (GCPR),2021

5. Towards Fully-Synthetic Training for Industrial Applications;mayershofer;International Conference on Logistics Informatics and Service Sciences (LISS),2020

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1. Towards Adaptive Environment Perception and Understanding for Autonomous Mobile Robots;2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI);2023-11-27

2. Cut-paste image generation for instance segmentation for robotic picking of industrial parts;The International Journal of Advanced Manufacturing Technology;2023-11-23

3. Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach;Mathematics;2023-09-05

4. Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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