Project AURIONAI Use-Cases Research & Innovation
vision

Wide ResNet

Residual networks made wider and shallower (Zagoruyko and Komodakis); Wide ResNet-50-2 is a common ImageNet backbone.

Levelmodel
Classvision
Parameters68.95M
Contextnot in the notes
Released23 May 2016
Opennessopen weights permissive
Runs onmobile or NPU
Statusactive

R&D Topics

Image classification backbone architectures (CNN and vision transformer)produced by

Identity

Developer
not in the notes
Family
not in the notes
Released
23 May 2016 sourcesannouncement page
Weights published
5 Apr 2023
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
68.95M sources
Active parameters
–
Checkpoint parameters
–
Note
WRN-50-2 and WRN-101-2 in TorchVision and timm.
Context length
not in the notes
Input
image
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download, cloud marketplace
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
mobile or NPU
Footprint
Edge or toolkit builds listed in: Qualcomm AI Hub.
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/1605.07146 https://arxiv.org/abs/1605.07146
  2. huggingface.co/timm/wide_resnet50_2.racm_in1k https://huggingface.co/timm/wide_resnet50_2.racm_in1k
  3. jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
  4. aihub.qualcomm.com/models/wideresnet50 https://aihub.qualcomm.com/models/wideresnet50
  5. github.com/pytorch/vision/blob/main/torchvision/models/r... https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py
  6. pytorch.org/hub/pytorch_vision_wide_resnet https://pytorch.org/hub/pytorch_vision_wide_resnet
  7. raw.githubusercontent.com/pytorch/hub/master/pytorch_vision_wide_resnet... https://raw.githubusercontent.com/pytorch/hub/master/pytorch_vision_wide_resnet.md

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Wide ResNet", https://aurion.semai.id/models/wide-resnet/, records of October 2026.