Comments (3)
Hi @Sakura-rain, Thank you for your interest in our work. Sorry for the late response. Is your issue solved?
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Hi @Sakura-rain, Thank you for your interest in our work. Sorry for the late response. Is your issue solved?
Thank you very much for your reply. I'm sorry that the problem still exists. I used the Settings in the Script folder to experiment, but the value of vae_loss_seen stopped falling when it dropped to a certain value (for example, in the Flo dataset, it have stopped at around 300). This value would normally approach zero as the experiment progresses, but despite this, the final prediction is similar to the one presented in your article. I am not sure whether my experiment is correct or not. I hope you can give me an answer.
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Hi @Sakura-rain Are you able to replicate the numbers?
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Related Issues (20)
- There is problem with AWA2!! HOT 3
- ModuleNotFoundError: No module named 'util' HOT 1
- Transductive Setting HOT 6
- Recreating ResNet visual features HOT 3
- performance about CUB dataset HOT 7
- epoch 0 HOT 7
- classify HOT 5
- 'Variable' object has no attribute 'getLayersOutDet' HOT 7
- Transductive setting's hyperparameters HOT 1
- Model selection criteria HOT 4
- There is a gap in performance than in the paper HOT 7
- Question about argparse HOT 2
- Questions about training HOT 10
- What is the training unseen feature under transductive setting?
- Question about training on action recognition HOT 1
- Question regarding fine-tuned features HOT 1
- role of parameter
- _test_unseen_feature = scaler.transform(feature[test_unseen_loc]) IndexError: index 382 is out of bounds for axis 0 with size 382
- Finetuned features MISS HOT 2
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