Comments (1)
@johnbager We have not done any tests on the video-caption-based CLIP. It is worth trying in this direction. The main problem is that the text encoder of CLIP encodes text with a causal attention mask. It leads that video feature (or images feature) may be insufficient for caption task. However, it is just my conjecture.
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Related Issues (20)
- How to fine-tune with additional layers before UniVL? HOT 2
- Run Without Distributed HOT 3
- TypeError: bad operand type for unary -: 'list' HOT 6
- How to run captioning task on my own video datasets? HOT 1
- Pre-training acceleration using multi-machine distributed training HOT 1
- Can you share your HowTo100M.csv file? HOT 3
- This repo is missing important files HOT 1
- Unable to run video captioning code HOT 3
- where to get transcript to generate youcookii_data.pickle HOT 2
- end-to-end video file captioning process HOT 3
- feature & data shape HOT 6
- How can I create my video feature pickle HOT 4
- video only test for youcook HOT 2
- How to only input text feature or video feature HOT 2
- Is there a code for Finetune on CMU-MOSI here? HOT 1
- Issues about Freezing some additional layers instead of meanP in CLIP4Clip HOT 2
- Error message (torch.distributed.elastic.multiprocessing.errors.ChildFailedError:)
- Estimate of zero-shot performance HOT 1
- Zero score (every output is None) on evaluation captioning with pretrained model HOT 1
- Non-Configurable GPU Count via Arguments
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