Methods › Computer Vision › Convolutional Neural Networks › Assemble-ResNet

Assemble-ResNet

2 papers tagged archive 2025-07-28

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

Assemble-ResNet is a modification to the ResNet architecture with several tweaks including using ResNet-D, channel attention, anti-alias downsampling, and Big Little Networks.

Source: Compounding the Performance Improvements of Assembled...See Code · clovaai/assembled-cnn

Papers archive 2025-07-28

2 shown of 2, 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

10 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
Fine-Grained Image Classification1
Fine-Grained Visual Recognition1
General Classification1
Image Classification1
Image Retrieval1
Retrieval1
Speech Synthesis1
Text-To-Speech Synthesis1
Transfer Learning1
image-classification1

Usage over time archive 2025-07-28

Papers per year tagged with Assemble-ResNet: 2020 to 2020, peak 2 2 0 2020: 2 papers 2020
Papers per year the archive tags with this method, by the paper's archive date (2 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