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I am unable to figure out where to download the images. Thank You in advance
Hello,
I'm confused about the evaluation of predicate detection.
The paper says
our input is an image and set of localized objects. The task is to predict a set of possible predicates between pairs of objects
But in predicate_detection.m
, the predictions are made for each groundtruth relation. It takes a groundtruth (subject, object) pair as input and classifies the predicate.
If that is the case, the model has access to not only an image and set of localized objects
, but also:
Could you please clarify what is the correct setup for the predicate detection task? Thanks.
Hi,
Thanks you for the effort of releasing the source code.
In top_recall_Relationship.m
, when calculating num_pos_tuple
, you used
length(gt_tuple_label{ii})
. length
gives the dimension of the longer axis, which results in an erroneous denominator when calculating recall score. Would you consider fix and use size(gt_tuple_label{ii}, 1)
instead?
Hi,
Can you share with us the data for evaluating the zero-shot learning and image retrieval as stated in the paper?
Best,
Hello,How train Union CNN Score? Can you release the training code?
Hello,your paper help me a lot and I want to build my own dataset. But I don't know how to generate the json file conveniently. Do you have any tools to generate them(like labelImg).
look forward to your reply.
Hi,
Thanks for the code. It is a great work!
But can you also provide the training code? Then we can train our own W and b in Eq. (2).
And is that possible to provide your pre-trained model for the object detection and predicates prediction model, so we can extract the 'objectDetRCNN.mat' and 'UnionCNNfeaPredicate.mat' for our own images.
Thanks!
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