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 ...
This project implements Embedding U-Net, a novel approach to instance segmentation that solves the critical challenge of separating touching and overlapping objects in cluttered scenes. Unlike ...
Abstract: Underwater instance segmentation plays a pivotal role in various applications. Among them, coral instance segmentation is of great significance in the fields of marine biology and ...
Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
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