facebookresearch/multipathnet

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

1331 stars · 275 forks observed · 2026-08-28

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

A Torch-7 implementation of the MultiPath Network for object detection from the BMVC 2016 paper by Facebook AI Research, also supporting Fast R-CNN training. It provides training and evaluation code on datasets like MSCOCO and PASCAL VOC using GPU acceleration.

Use cases

• train an object detection model in Torch
• reproduce MultiPath Network object detection results
• train Fast R-CNN on COCO or PASCAL VOC
• run object detection research on GPU with Lua Torch
• evaluate object detection models with COCO API

When to choose

• you need the exact MultiPath Network implementation from the paper
• your stack is Torch-7/Lua and you want Fast R-CNN style training
• you're studying or extending Facebook Research's 2016 detection code

When to avoid

• you want modern, maintained object detection tooling (use PyTorch-based Detectron2, MMDetection, or Ultralytics)
• you don't have an NVIDIA GPU or Linux environment
• you can't work with the deprecated Torch-7 ecosystem

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning lua object-detection torch7 fast-rcnn multipath-network research-code coco pascal-voc research linux gpu

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markdown · JSON · MCP: product_card(name="facebookresearch/multipathnet")