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@@ -23,9 +23,9 @@ Downloading videos from: http://clevrer.csail.mit.edu/
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  We generate some negative questions for non-exist objects in the image. We use the version 1 image sets. Download from: https://homes.cs.washington.edu/~ranjay/visualgenome/api.html
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- VisualGenome has 100K+ images. And for the objects in the image, there are attributes, We only focus on the color attributes.
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- There are in total 11K+ possible objects. for each image, I add 3 non-exist objects and 1 non-exist attribute for existing objects as negative samples.
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  In the original qa dataset, VG has Object Counting questions, we also include them here, with the 'orig_qa'=='Yes'. For those negative questions we generated, 'orig_qa' =='No'.
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  ```json
 
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  We generate some negative questions for non-exist objects in the image. We use the version 1 image sets. Download from: https://homes.cs.washington.edu/~ranjay/visualgenome/api.html
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+ VisualGenome has 100K+ images. And for the objects in the image, there are attributes associated with each object, we only focus on the color attributes.
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+ For each image, we choose to add (1) 3 non-exist objects and (2) 1 non-exist attribute for existing objects as negative samples.
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  In the original qa dataset, VG has Object Counting questions, we also include them here, with the 'orig_qa'=='Yes'. For those negative questions we generated, 'orig_qa' =='No'.
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  ```json