megvii-research/ML-GCN
A PyTorch implementation of ML-GCN for multi-label image recognition using graph convolutional networks.
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This repository provides a PyTorch implementation of the CVPR 2019 paper Multi-Label Image Recognition with Graph Convolutional Networks. The method uses a GCN to model label co-occurrence dependencies for improved multi-label image classification. It includes pre-trained checkpoints for COCO and VOC datasets and demo scripts for evaluation.
Frequently asked
- What is megvii-research/ML-GCN?
- A PyTorch implementation of ML-GCN for multi-label image recognition using graph convolutional networks.
- Is ML-GCN open source?
- Yes — megvii-research/ML-GCN is an open-source project tracked on heatdrop.
- What language is ML-GCN written in?
- megvii-research/ML-GCN is primarily written in Python.
- How popular is ML-GCN?
- megvii-research/ML-GCN has 1.4k stars on GitHub.
- Where can I find ML-GCN?
- megvii-research/ML-GCN is on GitHub at https://github.com/megvii-research/ML-GCN.