Comments (4)
Training Dense Captioning on VG Dataset takes me nearly 4 days on 4 RTX3090 GPUs
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Okay, thanks for your response.
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Training Dense Captioning on VG Dataset takes me nearly 4 days on 4 RTX3090 GPUs
Do you train the model successfully? Have you met this problem? #1
from grit.
Yes I have once met the same problem while training on object detection task. And I haven't solved it yet.
It seems to work for training dense captioning task.
I'm still running the code, and it hasn't report any error yet.
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Related Issues (18)
- Bug of corner case of proposals HOT 24
- third_party project gitmodules HOT 1
- Questions about multi-node deepspeed launcher HOT 1
- Batch size Configuration HOT 1
- Dense Captioning Evaluation on VG Dataset HOT 10
- Poor result in Densecap Evaluation HOT 6
- Willing to share the original annotations of Visual Genome dataset ? HOT 2
- Larger ViT backbone for dense captioning HOT 1
- Question about training on custom data HOT 1
- Can you provide the performance based on the GT boxes? HOT 3
- KeyError: 'object_description'
- No module named 'detectron2' HOT 2
- Support for Batch-Inference HOT 1
- Generate Caption on my own boxes HOT 1
- Installation instructions seem out of date HOT 1
- eval code HOT 1
- Output the result in the format of text
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