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How to generate co-occurrence matrix? #4
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Thank you interest in my paper. As mentioned in the paper, we count the image level statistics in order to easily obtain the co-occurrence matrix. If you have any other questions please feel free to ask me. |
Thank you for your reply! |
Hi! Thank you for sharing your work.
I generated a matrix myself for V-COCO dataset, and I wanted to compare to your method to see if it is correct, but I didn't see you mentioned the generation of co-occurrence matrix in your paper.
I also modefied code in mat_to_json.py, my thought is to compare every coordinates of different hoi-classes in an image, if two hoi has same h-o coordinates, they can be regarded as co-occur. But it turns out that there are totally no identical coordinates in different hoi-classes. I wondered it may be the annotations, like[207, 32, 426, 299] and [205, 32, 426, 305] are not identical though they are actually the same box. I modified the identical condition to add a tolerant bias, but my results are not so close to yours.
Can you help me about the issue or give some details about how you generate your matrix?
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