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**Is your feature request related to a problem? Please describe.**
I don't have a TTS engine on my phone and wouldn't use it anyway. …
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Dear author, I have another question for you:
In Visual Prompt Encoder, is it stacking three layers of deformable cross-attention layer, then connecting one self attention and one FFN?
Or stacki…
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Dear Experts,
I hope this message finds you well. I have a quick question regarding the predefined Group_FNs in the file hcp_1200_surface_FN17.mat.
Could you kindly confirm the labels or order o…
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Can you provide the code for the part that visualizes the [REG] token's attention score on visual tokens in Fig. 3 and Fig. 4, thanks!
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what does cu_seqlens mean in vit?
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- [Visual Attention in Deep Learning](https://medium.com/@sunnerli/visual-attention-in-deep-learning-77653f611855)
- [Visual Attention Model in Deep Learning](https://towardsdatascience.com/visual-at…
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Hi,
Very nice work!
How to generate visual image of 'Similarity of Attention Outputs' as shown in Figure 4?
Could the author share the code for visualization??
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# Scenario
- Recipient’s attention of new assigned tasks is visually captured to animate his motivation to treat them
- [Scenario description](https://www.notion.so/cybnity/Recipient-s-attention-of-…
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I ran the file `models/AVT_ConvLSTM_Sub-Attention/main_inference.py`, but got an error:
我按照README运行了main_inference.py,但是报错:
> Given groups=1, weight of size [256, 3, 72, 3], expected input[16, 4, …
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Thanks for your awesome contribution. I was wondering whether I can use this to achieve visual attention. I was thinking of using the seq2seq with attention and feeding the convnet's flatten layer as …