Citation
TRansPose: Large-Scale Multispectral Dataset for Transparent Object
Citation
@article{doi:10.1177/02783649231213117,
author = {Jeongyun Kim and Myung-Hwan Jeon and Sangwoo Jung and Wooseong Yang and Minwoo Jung and Jaeho Shin and Ayoung Kim},
title ={TRansPose: Large-scale multispectral dataset for transparent object},
journal = {The International Journal of Robotics Research},
volume = {43},
number = {6},
pages = {731-738},
year = {2024},
doi = {10.1177/02783649231213117},
URL = {https://doi.org/10.1177/02783649231213117},
eprint = {https://doi.org/10.1177/02783649231213117}
}
Copyright
All datasets on this page are copyrighted by SNU RPM Labs and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License. You must attribute the work in the manner specified by the author. You may not use the work for commercial purposes, and you may only distribute the resulting work under the same license if you alter, transform, or create the work.
Acknowledgment
This work is based on work supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) No.2022-0-00480, Development of Training and Inference Methods for Goal-Oriented Artificial Intelligence Agents.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (2020R1C1C1006620)