Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection
Indian Institute of Technology (ISM), Dhanbad（印度理工学院（印度矿业学院）丹巴德分校）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
