Methods › Computer Vision › Convolutional Neural Networks › ResNeXt

ResNeXt

132 papers tagged archive 2025-07-28

Introduced by Saining Xie et al. in Aggregated Residual Transformations for Deep Neural Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

A ResNeXt repeats a building block that aggregates a set of transformations with the same topology. Compared to a ResNet, it exposes a new dimension, cardinality (the size of the set of transformations) C, as an essential factor in addition to the dimensions of depth and width.

Formally, a set of aggregated transformations can be represented as: ℱ(x)=∑ᵢ₌₁^C𝒯ᵢ(x), where 𝒯ᵢ(x) can be an arbitrary function. Analogous to a simple neuron, 𝒯ᵢ should project x into an (optionally low-dimensional) embedding and then transform it.

PaperSourceSee Code · pytorch/vision

Papers archive 2025-07-28

30 shown of 132, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 164 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object Detection38
Image Classification28
object-detection25
Semantic Segmentation24
Segmentation21
General Classification19
image-classification16
Instance Segmentation15
Object13
Classification8
Transfer Learning8
Action Recognition7
Panoptic Segmentation6
Image Segmentation5
Neural Architecture Search5
2D Object Detection4
Action Classification4
Deep Learning4
GPU4
Knowledge Distillation4

Usage over time archive 2025-07-28

Papers per year tagged with ResNeXt: 2016 to 2025, peak 43 43 0 2016: 2 papers 2016 2017: 8 papers 2017 2018: 27 papers 2018 2019: 43 papers 2019 2020: 18 papers 2020 2021: 20 papers 2021 2022: 4 papers 2022 2023: 3 papers 2023 2024: 5 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (132 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Convolutional Neural Networks

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections