Morphology classification
14 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Morphology classification
Most implemented papers
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
This algorithm performs semi-supervised domain adaptation and can be applied to datasets with different data distributions and class overlaps.
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
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.
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
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 galaxy images as an inductive bias in the architecture.
SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
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.
