This repository provides an official implementation of the GCNet paper on COCO object detection and instance segmentation. The core component is the Global Context (GC) block, a neural network operator that captures long-range dependencies in images. Built on the open-mmlab mmdetection framework, it provides configurations and trained models for reproducing the reported benchmarks.