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lmb-freiburg/entitynet

EntityNet: Using Knowledge Graphs to harvest datasets for efficient CLIP model training Dataloader and instructions can be found here: https://github.com/lmb-freiburg/entitynet If you use the dataset, code, or results, please cite: @inproceedings{ging2025entitynet, author = {Simon Ging and Sebastian Walter and Jelena Bratuli{\'c} and Johannes Dienert and Hannah Bast and Thomas Brox}, title = {Using Knowledge Graphs to Harvest Datasets for Efficient {CLIP} Model… See the full description on the dataset page: https://huggingface.co/datasets/lmb-freiburg/entitynet.

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EntityNet: Using Knowledge Graphs to harvest datasets for efficient CLIP model training

Dataloader and instructions can be found here: https://github.com/lmb-freiburg/entitynet

If you use the dataset, code, or results, please cite:

bibtex

@inproceedings{ging2025entitynet,
  author    = {Simon Ging and Sebastian Walter and Jelena Bratuli{\'c} and Johannes Dienert and Hannah Bast and Thomas Brox},
  title     = {Using Knowledge Graphs to Harvest Datasets for Efficient {CLIP} Model Training},
  booktitle = {Pattern Recognition, 47th {DAGM} German Conference, {DAGM} {GCPR} 2025, Freiburg, Germany, September 23--26, 2025, Proceedings},
  series    = {Lecture Notes in Computer Science},
  publisher = {Springer Nature Switzerland},
  year      = {2025},
  pages     = {287--302},
  isbn      = {978-3-032-12840-9},
  doi       = {10.1007/978-3-032-12840-9_19}
}