Comments (2)
Although the result per domain differs from seed to seed, we found that there is not much difference in average value.
For example, our average scores for seeds 0, 1, 2, 3 are 0.837, 0.850, 0.847, 0.854.
seed | VT | VU | GA | MS | PK | PR | FM | BK | BT | DS | avg |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0.87288 | 0.88385 | 0.87438 | 0.77149 | 0.85681 | 0.83521 | 0.77101 | 0.89937 | 0.87733 | 0.73021 | 0.837254 |
1 | 0.88222 | 0.87448 | 0.85601 | 0.84993 | 0.85847 | 0.86861 | 0.76448 | 0.91271 | 0.8916 | 0.73667 | 0.849518 |
2 | 0.87288 | 0.85 | 0.90844 | 0.87556 | 0.85653 | 0.83306 | 0.73771 | 0.87861 | 0.88549 | 0.77389 | 0.847217 |
3 | 0.88222 | 0.92 | 0.92062 | 0.80354 | 0.85622 | 0.87038 | 0.75566 | 0.86962 | 0.89653 | 0.76326 | 0.853805 |
We reported the result with seed 1.
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Thanks!
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Related Issues (20)
- At training, RuntimeError: The size of tensor a (148) must match the size of tensor b (150) at non-signleton dimesnion 1
- Confusion about the code HOT 1
- TypeError: unsupported operand type(s) for /: 'dict' and 'float' HOT 4
- The I3D features about Charades-STA HOT 3
- Training Machine Question HOT 1
- Charades dataset feature
- Training on Charades-STA dataset with VGG backbone HOT 10
- Fail to download TVsum dataset and could you please provide a new link? HOT 2
- TVSUM data issue HOT 4
- SharePoint: That didn't work - user cannot be found in the directory HOT 1
- About run_on_videos HOT 6
- Use videoonly.ckpt HOT 5
- The hyper parameters of using SF+CLIP features on Charades-STA HOT 9
- official feature files for QVHighlights dataset HOT 3
- About ablation study HOT 1
- Pretraining Modules with Contrastive Learning? HOT 1
- With the same seed, the set of eval_epoch can really influence the performance of model! Why? HOT 5
- About saliency score HOT 2
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