Dataset Open Access
HOWS-CL-25: Household Objects Within Simulation Dataset for Continual Learning
Knauer, Markus;
Denninger, Maximilian;
Triebel, Rudolph
BibTeX Export
@dataset{knauer_markus_2022_7189434,
author = {Knauer, Markus and
Denninger, Maximilian and
Triebel, Rudolph},
title = {{HOWS-CL-25: Household Objects Within Simulation
Dataset for Continual Learning}},
month = oct,
year = 2022,
publisher = {Zenodo},
version = {1.0.1},
doi = {10.5281/zenodo.7189434},
url = {https://doi.org/10.5281/zenodo.7189434}
}
127
39
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 127 | 90 |
| Downloads | 39 | 35 |
| Data volume | 1.2 TB | 1.1 TB |
| Unique views | 101 | 70 |
| Unique downloads | 20 | 18 |
Indexed in
- Publication date:
- October 20, 2022
- DOI:
-
- Keyword(s):
- object classification instance segmentation depth estimation household objects continual learning online learning incremental learning mobile robot BlenderProc Blender synthetic images RGB images segmentation images normal images depth images neural network CNN Convolutional neural network Learning Cognitive Intelligence CI
- Meeting:
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022
- License (for files):
- Creative Commons Attribution 4.0 International