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@@ -49,7 +49,7 @@ Please look at "GenerateDescriptions.ipynb" for an example. Some details follow
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- "attributes_JJ100_NN300_VB100_clusterEight_imagenet_vgg_0112_iter_80000.caffemode": image model trained with MSCOCO images EXCEPT for objects which are held outduring paired training. These categories are trained with ImageNet data.
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- "vgg_multilabel_FT_iter_100000.caffemodel": image model trained on all MSCOCO images and over 600 ImageNet objects not in MSCOCO
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The code to train these models will be coming soon, but you can use all my pretrained models.
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The code to train these models will be coming soon, but you can use all my pretrained models. Use "./extract_features.sh" to extract image features for MSCOCO.
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2. The next step in DCC is to train language models.
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- "mrnn.direct_iter_110000.caffemodel": language model trained on MSCOCO text
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