Instance segmentation goes a step beyond object detection by not only locating objects with bounding boxes, but also segmenting each individual object at the pixel level.

This project implements a PointNet-based neural network for instance segmentation of 3D point clouds. The model learns discriminative embeddings on a unit hypersphere, enabling clean separation of ...

The instance segmentation task in computer vision involves labeling each pixel in an image with a class and an instance label. It can be thought of as a generalization of the semantic segmentation ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

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Abstract: Quantitative analysis of cleavage-stage embryos is a critical step for embryo evaluation in in vitro fertilization (IVF) treatment. Deep learning-based instance segmentation methods have ...