DrivingNet
2017-09-18 14:48:51 0 举报
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大纲/内容
bb-loss (L1_LOSS)
pixel-block (CONCAT)
L0
norm1 (LRN_FIXED)
L2 (CONVOLUTION)
drop7 (DROPOUT_FIXEED)
pixel-label
bb-loss
L3 (CONVOLUTION)
SOFTMAX_LOSS
pool2
L1
bb-output (CONVOLUTION)
size-block (CONCAT)
L2
RELU
TILING
bb-tile (TILING)
norm-block (CONCAT)
pixel-loss (SOFTMAX_LOSS)
size-label
norm1
ACCURACY
data (DRIVING_DATA)
pixed-tile (TILING)
L1 (CONVOLUTION)
L6 (CONVOLUTION)
norm2
pool5
data
bb-output-tiled
L0 (CONVOLUTION)
pool1 (POOLING)
relu7 (RELU)
L4
pool1
bb-label-sn
pixel-conv (CONVOLUTION)
relu4 (RELU)
pixel-block
drop6 (DROPOUT_FIXEED)
bb-prob-mask (ELTWISE)
norm2 (LRN_FIXED)
norm-block
L4 (CONVOLUTION)
L5 (CONVOLUTION)
relu3 (RELU)
L6
bb-label-size-normalization (ELTWISE)
POOLING
SLICE
relu1 (RELU)
CONCAT
size-block
pixel-conv
CONVOLUTION
bb-num-pixel-normalization (ELTWISE)
L3
bb-label
relu5 (RELU)
bb-label-num-pixel-normalization (ELTWISE)
norm-label
label
ELTWISE
pool2 (POOLING)
bb-masked-output-sn
bb-size-normalization (ELTWISE)
bb-masked-output-sn-nn
L1_LOSS
pool5 (POOLING)
LRN
INNER_PRODUCT
DROPOUT
relu2 (RELU)
DATA
bb-output
slice-label (SLICE)
pixel-conv-tiled
L5
relu6 (RELU)
bb-label-sn-nn
bb-masked-output
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