diff --git a/README.md b/README.md index 66728c532b6c11a3b93e122e144a4fa137e70e59..35743d7aca65f2c9603e595658e6e4c81960a371 100644 --- a/README.md +++ b/README.md @@ -38,14 +38,16 @@ Next you need to train YOLO model using the original dataset which you want to e To reproduce our steps you need finetuned on the original DEArt dataset YOLO model, file with calculated objectnesses for the images from Wikiart dataset and ANNOY index. These files are available upon a request. ## Citation +``` @InProceedings{Yemelianenko_2024_ECCV, -author = {Yemelianenko, Tetiana and Tkachenko, Iuliia and Masclef, Tess and Scuturici, Mihaela and Miguet, Serge}, -title = {An approach for dataset extension for object detection in artworks using open-vocabulary models}, -booktitle = {}, -month = {September}, -year = {2024}, -pages = {} + author = {Yemelianenko, Tetiana and Tkachenko, Iuliia and Masclef, Tess and Scuturici, Mihaela and Miguet, Serge}, + title = {An approach for dataset extension for object detection in artworks using open-vocabulary models}, + booktitle = {}, + month = {September}, + year = {2024}, + pages = {} } +``` ## License The dataset is available under license Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) <a href="http://creativecommons.org/licenses/by-nc-sa/4.0">LiceRI</a>.