Open wew2012 opened 7 years ago
(self.feed('conv5_4/last_relu') .upconv(tf.shape(self.layers['downsample']), 384, 4, 2, name = 'upsample', biased= False, relu=False, trainable=True)) # upsample (self.feed('downsample', 'conv4_4') .concat(axis=3, name='concat'))
In lib/networks/PVAnet_train.py:92, the concat layer before rpn concat 'downsample' and 'conv4_4' layer, which is different from the paper. In the paper, 'upsample' layer should be used too. I wonder if I made a mistake.
In lib/networks/PVAnet_train.py:92, the concat layer before rpn concat 'downsample' and 'conv4_4' layer, which is different from the paper. In the paper, 'upsample' layer should be used too. I wonder if I made a mistake.