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Found 5 papers, 1 papers with code
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
A WSOL model initially trained on some labeled source image data can be adapted using unlabeled target data in cases of significant domain shifts caused by variations in staining, scanners, and cancer type.
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
The online validation set incorporated 52 HRCT scans from patients with fibrotic lung disease and the offline test set included 140 cases from fibrosis and COVID-19 patients.
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Domain-to-domain translation involves generating a target domain sample given a condition in the source domain.
Domain Translation via Latent Space Mapping
In this paper, we investigate the problem of multi-domain translation: given an element $a$ of domain $A$, we would like to generate a corresponding $b$ sample in another domain $B$, and vice versa.
SkipW: Resource adaptable RNN with strict upper computational limit
We introduce Skip-Window, a method to allow recurrent neural networks (RNNs) to trade off accuracy for computational cost during the analysis of a sequence.
