ResNeXt Architecture
See original GitHub issueShort 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:
- Created a year ago
- Comments:9 (8 by maintainers)
Top 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...
Read more >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 ...
Read more >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 >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Can you reach out via LinkedIn/Twitter/something for easier comms and so we don’t spam here?
While my PRs for WideResNet and ViT components are still being reviewed - could you assign this one to me too? 😃 @LukeWood @tanzhenyu