Morphology classification

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Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
  8 Nov 2021 2 repositories listed
  The predicted results are then used to generate accuracy metrics per decision tree question to determine architecture performance.
• Rotation-invariant convolutional neural networks for galaxy morphology prediction
  24 Mar 2015 2 repositories listed
  Unfortunately, even this approach does not scale well enough to keep up with the increasing availability of galaxy images.
• Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
  19 Jun 2025 1 repository listed
  Observational astronomy relies on visual feature identification to detect critical astrophysical phenomena.
• From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
  20 Dec 2024 1 repository listed
  However, due to differences in signal-to-noise ratios and resolutions between the DECaLS images and those from BASS and MzLS (collectively referred to as BMz), a neural network trained on DECaLS images cannot be…
• SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
  6 Feb 2024 1 repository listed
  We propose a new approach for sperm head morphology classification, called SHMC-Net, which uses segmentation masks of sperm heads to guide the morphology classification of sperm images.
• E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
  2 Nov 2023 1 repository listed
  We propose the use of group convolutional neural network architectures (GCNNs) equivariant to the 2D Euclidean group, E(2), for the task of galaxy morphology classification by utilizing symmetries of the data present in…
• AstroCLIP: A Cross-Modal Foundation Model for Galaxies
  4 Oct 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  These embeddings can then be used - without any model fine-tuning - for a variety of downstream tasks including (1) accurate in-modality and cross-modality semantic similarity search, (2) photometric redshift…
• From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
  15 Mar 2023 1 repository listed
  We further enhance our model by tuning the VAE network via DA using galaxies in the overlapping footprint of DECaLS and BASS+MzLS, enabling the unbiased application of our model to galaxy images in both surveys.
• DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
  3 Feb 2023 1 repository listed
  This algorithm performs semi-supervised domain adaptation and can be applied to datasets with different data distributions and class overlaps.
• Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
  1 Nov 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  For the first time, we demonstrate the successful use of domain adaptation on two very different observational datasets (from SDSS and DECaLS).
• The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
  13 Jun 2022 1 repository listed
  Therefore, this paper implements unsupervised learning techniques to classify the Galaxy Zoo DECaLS dataset.
• Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images
  25 Mar 2022 1 repository listed
  To overcome these limitations, we present a semi-supervised transfer learning approach that uses a small number of labeled microscopy images for training and performs as effectively as methods trained on significantly…
• Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
  8 Nov 2021 1 repository listed
  In this work, we examine the robustness of state-of-the-art semi-supervised learning (SSL) algorithms when applied to morphological classification in modern radio astronomy.
• Self-Supervised Representation Learning for Astronomical Images
  24 Dec 2020 1 repository listed
  We show that, without the need for labels, self-supervised learning recovers representations of sky survey images that are semantically useful for a variety of scientific tasks.
• Galaxy Morphology Classification using EfficientNet Architectures
  31 Aug 2020 1 repository listed
  We study the usage of EfficientNets and their applications to Galaxy Morphology Classification.
• Numerical simulation, clustering and prediction of multi-component polymer precipitation
  10 Jul 2020 1 repository listed
  To reduce the required computational costs, we apply machine learning techniques for clustering and consequent prediction of the simulated polymer blend images in conjunction with simulations.
• Galaxy morphology prediction using capsule networks
  22 Sep 2018 1 repository listed
  In this work, we studied the performance of Capsule Network, a recently introduced neural network architecture that is rotationally invariant and spatially aware, on the task of galaxy morphology classification.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.