用于内窥镜伪影分割和检测的多平台集合

内窥镜伪影检测挑战包括1）伪影检测，2）语义分割和3）样本外概括。对于语义分割任务，我们提出了以EfficientNet作为特征提取器/编码器的FPN（特征金字塔网络）的多平台集成。..

Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection

Endoscopic artefact detection challenge consists of 1) Artefact detection, 2) Semantic segmentation, and 3) Out-of-sample generalisation. For Semantic segmentation task, we propose a multi-plateau ensemble of FPN (Feature Pyramid Network) with EfficientNet as feature extractor/encoder.For Object detection task, we used a three model ensemble of RetinaNet with Resnet50 Backbone and FasterRCNN (FPN + DC5) with Resnext101 Backbone}. A PyTorch implementation to our approach to the problem is available at https://github.com/ubamba98/EAD2020.