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Can you show the data on which this GAN was trained? Because I am confused that your dataset consisted of either RGB images or greyscale images.
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list of keyword:
- [x] landmark
- [x] fruit
- [ ] animal
- [ ] plants
- [x] car
- [ ] stores
- [ ] vegetables
- [ ] clothes
- [ ] plane
- [ ] boat
- [ ] landscape
- [ ] bike
…
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[paper](https://arxiv.org/pdf/2112.10740.pdf)
target dataset 에 맞춰서 pretraining 하는 게 더 좋은 것 같은데?
굳이 large-scale pretraining 필요 있어?
라고 주장하는 논문
실제로 MaskFeat(#73) 을 보면 Kinetic-400 에서도 비슷한 현상이 있다. …
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Piwik makes it easy to collect data from many systems, databases, services.
All this data could be analysed to extract insights. Anyone could build plugins for the open analytics platform Piwik. A p…
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今早查询有关细粒度分类相关的论文代码,发现该论文与项目,
由于我是对检测框之后的切割图像来做判断,我直接保存TResnetL_V2模型,发现该模型占比较大,之前使用的resnet模型比较小,
请问有没有较小的模型,就`train_FGVC_Aircraft_ResNet50.py` 来讲,我们使用的是TResnetL_V2 模型还是下方的`Network_Wrapper`模型。
是否需要通读…
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I run the tf code and got a 89+% acc, I think my implementation is almost the same as your tf version, so is there any details that you didn't mentioned in the paper?
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how do you get no-landmark images on train and dev?can you describe the directories in more detail?
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hi all!
first off, excuse my ignorance as i'm fairly new to ML, but have been playing with TF and Keras for the past few days and am feeling fairly comfortable. (However, Jupyter is new to me).
…
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Excuse me, when training detectors, can only one license plate be used in a picture?
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Author, I would like to know about model_0.9797.h5 and how you trained it, because the original text does not have any origin about it, but it plays a large role in the loss of training