Comments (2)
@PengLongkun
Hi, you could refer to the paper for a detailed explanation. In a nutshell, formula 1 projects the visual and textual features into the same semantic space, and calculates the verification scores to find the correlations between them. We use the verification scores to highlight the semantically related objects/regions for grounding.
We may add a demo script for score visualization when we have time later, but we don't have much time recently. So we suggest you can implement this yourself.
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Thanks a lot, I'll have a try.
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Related Issues (15)
- The CLOUD disk has no file HOT 1
- Question about Eq.1 HOT 3
- Question about the verification score HOT 1
- 关于GFlops统计和params统计 HOT 2
- What is the GPU version and cuda version? HOT 14
- how to show discriminative features HOT 1
- 您好呀 HOT 7
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- Visualize the attention map for a point HOT 2
- Doubts about the hyperparameter args.box_xyxy HOT 4
- inferece api for REC HOT 1
- Split of Flickr30K dataset HOT 3
- Hello, the download link of the "ReferitGame" dataset is no longer available. Could you please send me a file through other methods? Thank you very much! HOT 1
- How to visualize the attention map HOT 1
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