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Found 5 papers, 4 papers with code
A Survey on Self-Supervised Representation Learning
Learning meaningful representations is at the heart of many tasks in the field of modern machine learning.
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images
In the context of the NeurIPS 22 Cell Segmentation Challenge, the proposed solution is shown to generalize well in a multi-modality setting, while respecting domain-specific requirements such as focusing on specific cell types.
Contour Proposal Networks for Biomedical Instance Segmentation
We construct CPN models with different backbone networks, and apply them to instance segmentation of cells in datasets from different modalities.
On the Vulnerability of Capsule Networks to Adversarial Attacks
This paper extensively evaluates the vulnerability of capsule networks to different adversarial attacks.
