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This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets.
Features
- Implements common supervised deep hashing methods
- Includes evaluation metrics for retrieval performance
- Based on PyTorch for flexibility and speed
- Supports datasets like CIFAR-10 and NUS-WIDE
- Provides training and testing pipelines
- Focused on reproducibility and research benchmarking
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Computer Vision LibrariesLicense
MIT LicenseFollow HashingBaselineForImageRetrieval
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