Comments (4)
m-bain
commented on July 16, 2024
Hi yes for the 4-frame stage: 4 frames for WebVid 2M and 1 frame for CC3M :)
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vateye
commented on July 16, 2024
Cool, Thanks. By the way, did you have perform the experiment that only use WebVid 2M during the 4-frames stage? Or some ablation on "Joint Image-video training"?
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m-bain
commented on July 16, 2024
We have some results when training on webvid-only, and image-only in the recent arxiv https://arxiv.org/abs/2104.00650.
I didnt try 1-frame(CC+Webvid) -> 4-frame(WebVid only). Biggest amount of performance increase on video retrieval is by having a really strong vision-lang representation, doesn't matter that much if images or video, hence why CLIP methods are SOTA now. I think pre-training on more diverse datasets will always give best results for video retrieval, but maybe its different for other video tasks.
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vateye
commented on July 16, 2024
Thanks!
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Related Issues (20)
- CC3M data error HOT 3
- Which results in paper correspond to the finetune command? HOT 5
- About Curriculum Learning HOT 3
- What does zero-pad means? HOT 1
- License ? HOT 2
- How about initializing parameters with CLIP model HOT 1
- Creating 256 emb vector from text during inferenece HOT 2
- evaluation for MSVD . HOT 1
- How to select checkpoint when fine-tuning on MSRVTT HOT 1
- config about Paper Result HOT 2
- Code/template for the demo? HOT 4
- CC3M dataset broken HOT 1
- Result about MSVD HOT 2
- About the effects of sliding_window_stride
- pre-process mp4 HOT 1
- Question about pretrained models? HOT 1
- Could you please also share the demo UI codes? HOT 2
- RuntimeError: There were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema aten::_cat. HOT 1
- Cannot reproduce results
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