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Found 4 papers, 2 papers with code
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform
Objects with complex structures pose significant challenges to existing instance segmentation methods that rely on boundary or affinity maps, which are vulnerable to small errors around contacting pixels that cause noticeable connectivity change.
Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks
The VGG-16 and VGG-19 models experience relative error reductions of 9. 5% and 10. 7% on CIFAR-10, respectively, after the substitution of ReLU with PVLU.
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images
On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances.
Ranked #2 on
3D Instance Segmentation
on MitoEM
(AP75-R-Test metric)
An Attention Model for group-level emotion recognition
In this paper we propose a new approach for classifying the global emotion of images containing groups of people.
