Shypd.aiThe largest open index of AI toolsvsepp is an Open Source & Models tool that provides PyTorch code for improving visual-semantic embeddings. It implements image-caption retrieval methods from the VSE++ paper, focusing on hard negatives.
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vsepp is an open-source PyTorch implementation for enhancing visual-semantic embeddings, specifically designed for image-caption retrieval tasks. It provides the code for methods detailed in the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives" presented at BMVC 2018. The repository includes scripts for evaluation of pre-trained models and training new models, with options for different arguments like `max_violation` and `measure order`. It supports Python 2.7 (with a Python 3 branch available) and PyTorch, along with other dependencies like NumPy and TensorBoard. The project also provides instructions for downloading datasets and pre-trained models, making it a valuable resource for researchers and developers working on visual-semantic embedding problems.
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