Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection

2020-03-23 · Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj

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.

📄 PDF Abstract BibTeX arXiv:2003.10129

Code (1)

ubamba98/EAD2020 공식 구현 pytorch

Tasks

object-detection Object Detection Segmentation Semantic Segmentation

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