7 papers
Example-based Robust Abnormality Detection with Minimal Annotations using Exemplar Med-DETR
Sheethal Bhat, Bogdan Georgescu, Awais Mansoor +5
Reducing annotation requirements remains a key challenge in developing robust medical object detectors. To address this, Vision-Language (VL) object detection methods leverage grou…
Data Augmentation via Latent Diffusion Models for Detecting Smell-Related Objects in Historical Artworks
Ahmed Sheta, Mathias Zinnen, Aline Sindel +2
Finding smell references in historic artworks is a challenging problem. Beyond artwork-specific challenges such as stylistic variations, their recognition demands exceptionally det…
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
Sheethal Bhat, Bogdan Georgescu, Adarsh Bhandary Panambur +8
Detecting abnormalities in medical images poses unique challenges due to differences in feature representations and the intricate relationship between anatomical structures and abn…
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…
Gesture Classification in Artworks Using Contextual Image Features
Azhar Hussian, Mathias Zinnen, Thi My Hang Tran +2
Recognizing gestures in artworks can add a valuable dimension to art understanding and help to acknowledge the role of the sense of smell in cultural heritage. We propose a method…
Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces
Shumei Liu, Haiting Huang, Mathias Zinnen +2
Olfaction, often overlooked in cultural heritage studies, holds profound significance in shaping human experiences and identities. Examining historical depictions of olfactory scen…