11 citations · 15 across the 4 of their papers we have counts for
4 papers
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
Mathias Zinnen, Prathmesh Madhu, Inger Leemans +6
Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-g…
Transfer Learning for Olfactory Object Detection
Mathias Zinnen, Prathmesh Madhu, Peter Bell +2
We investigate the effect of style and category similarity in multiple datasets used for object detection pretraining. We find that including an additional stage of object-detectio…
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
Mathias Zinnen, Prathmesh Madhu, Ronak Kosti +3
The Odeuropa Challenge on Olfactory Object Recognition aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heri…
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas
Prathmesh Madhu, Tilman Marquart, Ronak Kosti +4
Image compositions are helpful in the study of image structures and assist in discovering the semantics of the underlying scene portrayed across art forms and styles. With the digi…