This repository provides the official PyTorch implementation of object context-based segmentation methods including OCNet (Object Context Network), OCRNet (Object-Context Representation), and SegFix. These are deep learning models for semantic segmentation tasks, achieving state-of-the-art results on multiple benchmarks. The models learn to segment images by leveraging object-level context information to improve pixel-level classification accuracy.