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ResNeXt Architecture

See original GitHub issue

Short Description

ResNeXt is a pretty commonly used arch, had ~8k citations, and is oftentimes shown in comparison tables. torchvision has ResNeXt as well. Might be a good fit.

Other Information

Signing up to work on it as well.

Issue Analytics

  • State:open
  • Created a year ago
  • Comments:9 (8 by maintainers)

github_iconTop GitHub Comments

2reactions
DavidLandup0commented, Dec 12, 2022

Can you reach out via LinkedIn/Twitter/something for easier comms and so we don’t spam here?

1reaction
DavidLandup0commented, Oct 20, 2022

While my PRs for WideResNet and ViT components are still being reviewed - could you assign this one to me too? 😃 @LukeWood @tanzhenyu

Read more comments on GitHub >

github_iconTop Results From Across the Web

ResNeXt Explained | Papers With Code
A ResNeXt repeats a building block that aggregates a set of transformations with the same topology. Compared to a ResNet, it exposes a...
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Enhancing ResNet to ResNeXt for image classification
Architecture. Inherited from ResNet, VGG, and Inception, ResNeXt includes shortcuts from the previous block to next block, stacking layers ...
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Review: ResNeXt — 1st Runner Up in ILSVRC 2016 (Image ...
In this story, ResNeXt, by UC San Diego and Facebook AI Research (FAIR), is reviewed. ... Full Architecture and Ablation Study; Results ...
Read more >
A Guide to DenseNet, ResNeXt, and ShuffleNet v2
The basic architecture of ResNeXt is defined by two rules. First, if the blocks produce same-dimensional spatial maps, they share the same set...
Read more >
ResNeXt architecture - OpenGenus IQ
ResNext is a simple network for image classification, it uses the same block of layers multiple times that contains a set of transformation...
Read more >

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