RFBNet
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In class BasicRFB_a
In class RFB_a
branch_3 below block is different from original paper.
self.branch3 = nn.Sequential(
BasicConv(in_planes, inter_planes // 2, kernel_size=1, stride=1),
BasicConv(inter_planes // 2, (inter_planes // 4) * 3, kernel_size=(1, 3), stride=1, padding=(0, 1)),
BasicConv((inter_planes // 4) * 3, inter_planes, kernel_size=(3, 1), stride=stride, padding=(1, 0)),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=5, dilation=5, relu=False)
)
I think this should be like
self.branch3 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=5, dilation=5, relu=False)
)
Is there any meaning in your work? For example, It occurs better result or there are some issues, etc.
(Anyway why _a
? , '_s
' is original paper express...)
Thanks
Actually,
In class BasicRFB
, below code is also different from the original paper.
I think you did to reduce the number of parameters. I guess.
self.branch0 = nn.Sequential(
BasicConv(in_planes, 2*inter_planes, kernel_size=1, stride=stride),
BasicConv(2*inter_planes, 2*inter_planes, kernel_size=3, stride=1, padding=visual, dilation=visual, relu=False)
)
self.branch1 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1),
BasicConv(inter_planes, 2*inter_planes, kernel_size=(3,3), stride=stride, padding=(1,1)),
BasicConv(2*inter_planes, 2*inter_planes, kernel_size=3, stride=1, padding=visual+1, dilation=visual+1, relu=False)
)
self.branch2 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1),
BasicConv(inter_planes, (inter_planes//2)*3, kernel_size=3, stride=1, padding=1),
BasicConv((inter_planes//2)*3, 2*inter_planes, kernel_size=3, stride=stride, padding=1),
BasicConv(2*inter_planes, 2*inter_planes, kernel_size=3, stride=1, padding=2*visual+1, dilation=2*visual+1, relu=False)
)
self.ConvLinear = BasicConv(6*inter_planes, out_planes, kernel_size=1, stride=1, relu=False)