Official code of "Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer", Guglielmo Camporese, Elena Izzo, Lamberto Ballan. BMVC, 2022.
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Dec 14, 2022 - Python
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small-datasets
Here are 7 public repositories matching this topic...
A Pytorch-based library to evaluate learning methods on small image classification datasets
computer-vision deep-learning image-classification data-efficient-learning small-data small-datasets
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Jun 22, 2022 - Jupyter Notebook
Official implementation of "CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision" (PyTorch version)
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Sep 12, 2025 - Python
A reproducible, leakage-proof feature selector for omics classification. Find the right features in n<<p data, not just fewer of them.
machine-learning regression high-dimensional-data feature-selection classification dimensionality-reduction omics imbalanced-data small-dataset imbalance high-dimensionality omics-analysis small-data small-datasets omics-data-analysis small-data-ml small-data-machine-learning
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Sep 22, 2026 - Python
Unofficial, completed reference implementation of Yang et al.'s hybrid CVAE-CGAN for WAAM defect-image augmentation, evaluated end-to-end on public LoHi-WELD data.
computer-vision deep-learning pytorch generative-adversarial-network gan image-generation reproducibility class-imbalance reference-implementation welding data-augmentation cvae variational-autoencoder additive-manufacturing defect-detection waam small-datasets
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Sep 26, 2026 - Python
Multivariate Time-Series Forecasting using LSTM for Small Datasets
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Jul 19, 2023 - Jupyter Notebook
Small Dataset Benchmarks on the Dataset of Datasets UCI++
python benchmark machine-learning scikit-learn jupyter-notebook tabular-data xgboost hyperparameter-optimization classification lightgbm automl catboost optuna foundation-models small-datasets tabpfn tabicl
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Oct 6, 2026 - Jupyter Notebook
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