Comments (2)
MichaelMaiii
commented on May 20, 2024
1
Thanks a lot. It seems that only the 'vitlensL_processors' is available now.
By the way, I notice that SEED-LLaMa has outperformed InstructBlip in image captioning, maybe it's more concise and well-performed to use the SEED-LLaMa for both text and image generation.
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StanLei52
commented on May 20, 2024
Hi, please check #11.
For integration, we used the same ViT in InstructBLIP/SEED for ViT-Lens training. FYI, this ckpt in huggingface is for 3D integration. I will upload ckpts for more modalities and open-source this part in the near future.
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Related Issues (13)
- What kind of textual prompts do you use during the training period? HOT 2
- Why use the cross-attention instead of only self-attention when implementing perceiver layers? HOT 2
- Training code or training parameter configurations HOT 2
- 点云和文本输出结果不对 HOT 1
- Training Time and GPU usages HOT 4
- Something about Training Methodologies and Experimental Approaches for Video Data HOT 1
- Reproducing NYUv2 Results HOT 2
- Alternate depth normalization HOT 4
- plug in problem HOT 5
- SUN RGB-D is not in millimeters HOT 4
- Can not load eeg ckpt HOT 2
- reproduce evaluation results HOT 3
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