Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023
Semi-supervised Instance Segmentation with a Learned Shape Prior
Long Chen, Weiwen Zhang, Yuli Wu +2
To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth. Here, we…
cs.CV2020
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Long Chen, Martin Strauch, Dorit Merhof
Automatic instance segmentation is a problem that occurs in many biomedical applications. State-of-the-art approaches either perform semantic segmentation or refine object bounding…
cs.CV2020
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
Long Chen, Martin Strauch, Matthias Daub +6
Plant parasitic nematodes cause damage to crop plants on a global scale. Robust detection on image data is a prerequisite for monitoring such nematodes, as well as for many biologi…