8 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
SortedAP: Rethinking evaluation metrics for instance segmentation
Long Chen, Yuli Wu, Johannes Stegmaier +1
Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy. However, other important properties,…
Instance Segmentation of Dense and Overlapping Objects via Layering
Long Chen, Yuli Wu, Dorit Merhof
Instance segmentation aims to delineate each individual object of interest in an image. State-of-the-art approaches achieve this goal by either partitioning semantic segmentations…
High-throughput Phenotyping of Nematode Cysts
Long Chen, Matthias Daub, Hans-Georg Luigs +3
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale. Here, we introduce a high-throughput system based on computer vision…
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
Yuli Wu, Long Chen, Dorit Merhof
As a proposal-free approach, instance segmentation through pixel embedding learning and clustering is gaining more emphasis. Compared with bounding box refinement approaches, such…
MixNet: Multi-modality Mix Network for Brain Segmentation
Long Chen, Dorit Merhof
Automated brain structure segmentation is important to many clinical quantitative analysis and diagnoses. In this work, we introduce MixNet, a 2D semantic-wise deep convolutional n…