xvjiarui/GCNet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1220 stars · 165 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of GCNet (Global Context Networks), a paper combining ideas from Non-Local Networks and Squeeze-Excitation Networks for global context modeling. Built on mmdetection, it provides a GC block operator and configs for object detection and instance segmentation on COCO.

Use cases

• add global context modeling to detection models
• improve object detection accuracy on COCO
• improve instance segmentation performance
• replace non-local blocks with a faster attention module
• reproduce ICCV 2019 GCNet paper results

When to choose

• you need an efficient global context block for vision backbones
• you use mmdetection and want GCNet configs
• you want a simpler, faster alternative to Non-Local Networks

When to avoid

• you need actively maintained code (official support moved to mmdetection)
• you work outside PyTorch/mmdetection ecosystems
• you need general-purpose vision tools beyond detection/segmentation

Facets

library · maturity maintenance

deep-learning machine-learning image-processing computer-vision deep-learning machine-learning python object-detection instance-segmentation attention-mechanism global-context-modeling mmdetection pytorch research-code coco gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="xvjiarui/GCNet")