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View Code? Open in Web Editor NEWNeurIPS'2023 official implementation code
NeurIPS'2023 official implementation code
Hi, could you share the number of trainable and total parameters of your model on AVE, AVS, and AVQA tasks? Many thanks.
Hi, do you plan to make your paper public in arxiv so that others can cite it?
Hi, I am wondering which parts of parameters in AVQA are trainable and forzen? Whether only the parameters of pre-trained ViTs are frozen and others including your proposed prompts, ground modules, and text encoder are trainable? Many thanks.
Hi, could I know when you will release your paper? Many thanks
Thank you for your good work! I recently have read your code and generated some questions. I find that channel-spatial cross-attention module is projected into multi-head attention and the FFN in each Swin-transformer blocks, but temporal prompt is only used in the last Swin-transformer block. This is not quite consistent with the text description in your paper.
Hi,
Thanks for the work! I'm trying to download the pre-trained checkpoints for the backbone model, using the google drive link, but it requires permission. Is it possible to change the access type of the file, since I guess many others would like to get them as well?
Best,
Arthur
Hi, could I know how you get the pre-trained weights of grounding module? I found you use the different pre-trained weights from LAVISH. Do you use another dataset to pre-trained the whole model to get the pre-trained ground module? If yes, which dataset you use for this pre-training? Many thanks.
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