Methods › Computer Vision › Convolutional Neural Networks › hdxresnet

Hybrid-deconvolution

hdxresnet

1 paper tagged archive 2025-07-28

Introduced by John F. Wu et al. in Predicting galaxy spectra from images with hybrid convolutional neural networks

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

A resnet-like architecture with deconvolution feature normalization (Ye et al. 2020, ICLR) layers in the first few layers for sparse low-level feature identification, and batch normalization layers in the later layers.

PaperSource

Papers archive 2025-07-28

1 shown of 1, 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

The archive attaches no task to a paper tagged with this method.

Usage over time archive 2025-07-28

Papers per year tagged with hdxresnet: 2020 to 2020, peak 1 1 0 2020: 1 paper 2020
Papers per year the archive tags with this method, by the paper's archive date (1 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

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