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Found 4 papers, 3 papers with code
CNA-TTA: Clean and Noisy Region Aware Feature Learning within Clusters for Online-Offline Test-Time Adaptation
To deal with this problem, we propose to utilize cluster structure (i. e., {`Clean'} and {`Noisy'} regions within each cluster) in the target domain formulated by the source model.
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection
In particular, cells are cultured under different conditions depending on the purpose of the research.
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
We propose an unsupervised domain adaptation method for cell detection using the pseudo-cell-position heatmap, where a cell centroid becomes a peak with a Gaussian distribution in the map.
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
This annotation is a time-consuming and labor-intensive task.
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