Comments (6)
Hi @felixfuu and @jetyingjia ,
Thank you for your interest in our work. We just released the training and evaluation codes of GLaMM along with the pretrained models and GranDf dataset. The GranD dataset will be released shortly. We appreciate your patience. Thank you.
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Hi @felixfuu, @SmallWhiteGZ, @Glupapa, @jetyingjia
We are pleased to announce the release of our dataset and the code for the automatic annotation pipeline. You can access the dataset here and find details on the annotation pipeline here.
Please let us know if you have any questions. Thank you.
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+1
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Thanks for the great work. Any updated timeline for releasing GranD dataset and the corresponding pretraining guidelines?
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+1
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Related Issues (20)
- Online Demo Down HOT 1
- Fine-tuning Grounded Conversation Generation (GCG) Task HOT 4
- token_positives HOT 2
- assertion error cur_len == total_len HOT 1
- can not install mmcv HOT 2
- Can not find file for glamm_conda_env.zip in the given Google Drive Link HOT 4
- Training on New Data HOT 2
- training V-L and L-P projection layer HOT 1
- Can not download the train.json file for visual genome
- How can I let the model receive multiple images at once HOT 1
- How should I train on the GranD dataset
- How can I finetune on combined tasks?
- Confusing referring segmentation results. HOT 1
- mmcv failed to install HOT 1
- AssertionError when running a demo
- Offline demo error
- Why is it that during the computation of segmentation results, the model() function is used instead of model.generate()? Wouldn't this mean that when predicting the next token, the information viewed is from the actual token rather than the predicted one? HOT 1
- What are the ‘categories’ in the dataset used for? When would I use them?
- How to Construct a Ground-Truth Test Dataset
- Question about eval pipeline on RefCOCO (doing sampling during evaluation).
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