fpsluozi / tofindwaldo Goto Github PK

May I ask if your implementation, when training and testing, filters out examples with text length >100?
Are the results you report in your paper based on this implementation?

There appear to be some duplicate id's in the splits.

I used following Python script to identify them:

seen = set()
dupes = [x for x in ids if x in seen or seen.add(x)]

Where ids is a list of all the ids in train, test and val combined.

Following file contains the duplicates I found: dupes.txt

Please correct me if I'm wrong on this.

Hi, could you provide a link for your extracted visual features?

I've extracted the image features from bounding boxes with this repo, but it resulted in NaN when I used these features to train.

Thanks!