Comments (4)
yangxue0827
commented on July 22, 2024
只是看原始fpn堆叠有什么效果而已 @Arthur-Shi
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Arthur-Shi
commented on July 22, 2024
所以在训练中，还是设置为0咯？
我做了cfgs.NUM_NAS_FPN为 384 和256的训练，发现384的效果显著提升。
该数值还能设置的更大吗？
以及在论文中 有关于DropBlock的实验，不知道您代码中有做对应的实现吗？
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yangxue0827
commented on July 22, 2024
没有做那么详细的实验，你可以自己试一下 @Arthur-Shi
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Arthur-Shi
commented on July 22, 2024
谢谢，麻烦您了
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Related Issues (20)
- NAS+Cascade loss 无法下降 HOT 2
- Question about BN in nas_fpn
- Question on top-down layer in NAS-FPN
- ValueError: Dimensions must be equal, but are 256 and 384 for 'tower_0/build_pyramid/build_P4/add' (op: 'Add') with input shapes: [1,?,?,256], [1,?,?,384]. HOT 3
- where is the RNN controller? HOT 1
- Closed because of impoliteness
- Is the code really slow?
- Questions
- Would you please provide AP result on COCO 2017 test-dev?
- ModuleNotFoundError: No module named 'tensorflow.contrib' HOT 1
- mAP question
- tensorflow contrib' module not found
- tensorflow contrib' module not found
- Link failure HOT 1
- how to train vocdata?
- GPU is not utilized and no progress happening
- resnet101_v1d model load error
- How to train, to do object detection for single class using NAS-FPN? HOT 1
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