Comments (1)
Thanks for your interest in our work.
max_feats
denotes the maximum number of frames.
The larger max_feats
generally yields the higher performance.
from flipped-vqa.
Related Issues (19)
- How to extract features using CLIP VIT-L? HOT 2
- Error when training with TVQA dataset: AttributeError in DataLoader worker process HOT 1
- How to use a trained checkpoint to make inference on validation set and resume from checkpoint. HOT 5
- From where to download LLaMA-v1 model? HOT 3
- Checkpoints HOT 1
- ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 3 (pid: 55662) of binary: /usr/bin/python3 HOT 3
- A question about QAV task in the code HOT 2
- How many GPUs are needed to train the model? HOT 2
- Concerns and Clarifications Regarding MCQ to Generation Task Conversion HOT 3
- Not getting the reported number. HOT 4
- Cannot reproduce the result HOT 2
- finetuned using lamma-13B HOT 3
- Number of frames and its use in code and max_feats10 for video feature HOT 1
- meaning of qav loss HOT 1
- about self.gate2 HOT 1
- need llama-13B finetuned checkpoints
- What are the average stats being reported at the end of every epoch in training? HOT 2
- How was the STAR dataset preprocessed for this code HOT 1
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from flipped-vqa.