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keras-Dual Attention Network for Scene Segmentation

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Hello, this doesn't seem to be the structure of the DANet model, is it the Unet model with the attention mechanism added

你好,目前好像遇到相似的问题,在unet-resnet等模型上效果都是不好,val_acc上身一点就不再变化,方便交流下有尝试其他网络效果不错的,除了fcn8

你好,我把PAM模块插入我自己的网络会出错,提示缩进错误,但是我的缩进没有问题,你知道这怎么解决吗

![image](https://user-images.githubusercontent.com/74591892/100535977-7d8f8280-3258-11eb-9c5b-9d2423b7b32a.png)

大神你好,请问你用的keras,tensorflow都是什么版本?我用tensorflow1.15.0 keras2.2.4出错了,谢谢! ValueError: Tensor-typed variable initializers must either be wrapped in an init_scope or callable (e.g., `tf.Variable(lambda : tf.truncated_normal([10, 40]))`) when building functions. Please file a feature request if this...

你好,我把train.ipynb文件转成.py文件后,参数BatchSize = 8 NumChannels = 3 ImgHeight = 256 ImgWidth = 256 NumClass = 1其中修改处为图片尺寸256,BatchSize8。运行出现错误InvalidArgumentError: Incompatible shapes: [8,256,256,1] vs. [8,256,256,1,3],[[Node: metrics/iou/sub_1 = Sub[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Classification/Sigmoid, metrics/iou/Round_2)]]. 请问您有遇到过此情况吗?(刚接触深度学习,很多地方不懂,网上未找到相似问题,不得已问您,求赐教)

![image](https://user-images.githubusercontent.com/17940005/70292134-3377ea80-1818-11ea-9f22-8bee15d3ee20.png) 我将DA模块插入自己的网络中,效果好像没有提升。 但是我发现将PAM层插入自己的网络中,发现网络的可训练参数量只增加了1,这个1应该是gamma。PAM中的卷积层中的参数好像是不可训练的。这可能是个问题

@strivebo 我之前一直用的isprs,今年下半年跑的cityscapes, _Originally posted by @niecongchong in https://github.com/niecongchong/DANet-keras/issues/3#issuecomment-568868692_ 大佬,你研究了,我也是遥感的,马上研三l,也是用到ispr数据集