Comments (3)
from poolnet.
I understand your idea, but all the parameters of backbone/convert_layers/deep_pool_layers will not be updated from salinet branch right? The objective of this network is salient object segmentation, and the majority of the parameters of the network will not be update from salinet obj segmentation task. I'm still confused by this
from poolnet.
from poolnet.
Related Issues (20)
- How did you measure the accuracy, precision, recall for each dataset?
- How to create the train.lst HOT 1
- Can the model or the dataset be used commerically ? HOT 1
- Resize or not? which will be better?
- Releasing the pretrained models HOT 3
- 关于BN和model.eval()的问题 HOT 2
- about composite images HOT 1
- Issue in reusing the pretrained models HOT 2
- Compression network HOT 2
- About self.net.train() HOT 1
- how do you get the edge-map in DUTS-TR?
- Keras version HOT 1
- Questions about joint training HOT 2
- Question about Pre-trained model
- 关于VGG16作为backbone训练的问题
- About pretrained model using MobileNetV2 HOT 2
- Got an error when I test the pretrained model. HOT 1
- IEEE TPAMI, 2021.PoolNet+ 代码能够提供下吗?谢谢 HOT 5
- cv2.error: OpenCV(4.7.0) :-1: error: (-5:Bad argument) in function 'resize'
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from poolnet.