Methods › Computer Vision › Downsampling › Anti-Alias Downsampling

Anti-Alias Downsampling

4 papers tagged archive 2025-07-28

Introduced by Richard Zhang in Making Convolutional Networks Shift-Invariant Again

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

Anti-Alias Downsampling (AA) aims to improve the shift-equivariance of deep networks. Max-pooling is inherently composed of two operations. The first operation is to densely evaluate the max operator and second operation is naive subsampling. AA is proposed as a low-pass filter between them to achieve practical anti-aliasing in any existing strided layer such as strided convolution. The smoothing factor can be adjusted by changing the blur kernel filter size, where a larger filter size results in increased blur.

Paper Source

Papers archive 2025-07-28

4 shown of 4, 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.

WaveGrad: Estimating Gradients for Waveform Generation
2 Sep 2020 · 7 repositories · arXiv:2009.00713

Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
TResNet: High Performance GPU-Dedicated Architecture
30 Mar 2020 · 3 repositories · arXiv:2003.13630
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
17 Jan 2020 · 1 repository · arXiv:2001.06268

Syntology ran 1 of 11 samples · 10 unverified
Making Convolutional Networks Shift-Invariant Again
25 Apr 2019 · 7 repositories · arXiv:1904.11486

Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)

Tasks archive 2025-07-28

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

Task	Papers
Image Classification	3
Fine-Grained Image Classification	2
General Classification	2
Classification Consistency	1
Conditional Image Generation	1
Domain Generalization	1
Fine-Grained Visual Recognition	1
GPU	1
Image Generation	1
Image Retrieval	1
MUlTI-LABEL-ClASSIFICATION	1
Multi-Label Classification	1
Object Detection	1
Retrieval	1
Speech Synthesis	1
Text-To-Speech Synthesis	1
Transfer Learning	1
Vocal Bursts Intensity Prediction	1
image-classification	1
object-detection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (4 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

Downsampling

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