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Implementation of "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives" in Tensorflow.

License: MIT License

Python 100.00%
tensorflow vse cross-modal multimodal-deep-learning image-text-search cross-modal-retrieval vsepp

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vsepp_tensorflow's Issues

A little bug of the function text2image_recall_at_k in evaluator.py

Hi, I'm working on text-image retrieval and I appreciate your tensorflow version of vesepp model.

During the code review, I'm confused about the implementation of the function text2image_recall_at_k in evaluator.py. The original code is shown as below:

for index in range(num_captions):

While I think that line 117 should be like this, since the embedded_captions cannot be sliced 5 fold:

for index in range(num_captions//5):

Interestingly, this change does not change the final evaluation result.

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