Comments (3)
Actually we usually don't use object mask to evaluate the model in the absence of ground truth. We usually randamly generate a sequence of masks and calculate the difference between the output reconstructed video and the original video.
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Actually we usually don't use object mask to evaluate the model in the absence of ground truth. We usually randamly generate a sequence of masks and calculate the difference between the output reconstructed video and the original video.
how do you select the random seed for generating test mask? how do you make sure that each paper use the same setting? I can't find the test mask in dataset, looking forward your reply, thanks
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any answer?
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Related Issues (20)
- ไปฃ็
- question about the dataset
- Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed
- how does this network realize self-training? HOT 1
- is the frame the ground truth? but the paper says there is no groundtruth for training HOT 2
- Generate Mask for custom video HOT 2
- Asked for pretrained Discriminator
- FLOPs calculation
- Can you please point out the download links of the dataset you use? HOT 1
- Algorithm output format (mp4, other, etc)
- Questions about pos_embedding
- When you will release your code HOT 2
- About GPU issues HOT 2
- Some question about the paper! HOT 3
- Input resolutions other than 432x240 HOT 7
- How to align the consecutive frames or patches?
- How to align the consecutive frames or patches? HOT 3
- Some question about the inference speed.
- Question about the inference speed.
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