fyu/drn

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1102 stars · 218 forks observed · 2026-08-28

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

A PyTorch library implementing Dilated Residual Networks (DRN), which combine dilated convolutions with residual networks for image classification and semantic segmentation. It provides pretrained models that outperform ResNet with fewer parameters, including state-of-the-art segmentation results on Cityscapes.

Use cases

• classify images with dilated residual networks
• semantic segmentation of street scenes on Cityscapes
• load pretrained DRN models in PyTorch
• generate high-resolution class activation maps for weakly supervised object localization
• train models with synchronized BatchNorm across multiple GPUs
• compare efficient network architectures against ResNet baselines

When to avoid

• you need a maintained library with recent updates (last release 2020)
• you work outside PyTorch, e.g. TensorFlow or JAX
• you need modern architectures like transformers or vision foundation models

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision deep-learning image-processing python pytorch dilated-convolutions residual-networks semantic-segmentation image-classification pretrained-models gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fyu/drn")