469 citations · 706 across the 59 of their papers we have counts for
4 papers · 2 filters
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention
Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller +1
Self-supervised learning is one of the most promising approaches to acquiring knowledge from limited labeled data. Despite the substantial advancements made in recent years, self-s…
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation
Hadrien Reynaud, Bernhard Kainz
This work presents an extensive hyperparameter search on Image Diffusion Models for Echocardiogram generation. The objective is to establish foundational benchmarks and provide gui…
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos +3
Unsupervised Anomaly Detection (UAD) techniques aim to identify and localize anomalies without relying on annotations, only leveraging a model trained on a dataset known to be free…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…