{"id":32976575,"url":"https://github.com/sjenni/LearningToSpotArtifacts","last_synced_at":"2025-11-16T08:01:52.825Z","repository":{"id":39740485,"uuid":"132330227","full_name":"sjenni/LearningToSpotArtifacts","owner":"sjenni","description":"Self-Supervised Feature Learning by Learning to Spot Artifacts. 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It contains code for unsupervised training on the unlabeled training set of STL-10 and code for supervised finetuning and evaluation on the labeled datasets. \n\n## Requirements\nThe code is based on Python 2.7 and tensorflow 1.12. See requirements.txt for all required packages.\n\n## How to use it\n\n### 1. Setup\n\n- Set the paths to the data and log directories in **globals.py**.\n- Run **init_datasets.py** to download and convert the STL-10 dataset.\n\n### 2. Unsupervised Training\n\n- To pre-train the autoencoder run **train_autoencoder_stl10.py**\n- To train the classifier and the repair network run **train_stl10.py**\n\n### 3. Transfer \u0026 Evaluation\n\n- To finetune the learnt representations run  **fine_tune_stl10.py**\n- To evaluate the finetuned classifier run **test_classifier_stl10.py** \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsjenni%2FLearningToSpotArtifacts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsjenni%2FLearningToSpotArtifacts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsjenni%2FLearningToSpotArtifacts/lists"}