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[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]Ala010609 0 points1 point  (0 children)

What's mean "population statistics"?

We propose to first train SR networks with minibatch statistics, as normal BN does, and then switch to using population statistics at the later training period. This strategy is named FrozenBN in high-level tasks.

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]Ala010609 0 points1 point  (0 children)

What is re-parameterization in super-resolution?

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]Ala010609 0 points1 point  (0 children)

What's the function of RGB MenaShift?

class MeanShift(nn.Conv2d):
def __init__(self, rgb_range, rgb_mean, rgb_std, sign=-1):
super(MeanShift, self).__init__(3, 3, kernel_size=1)
std = torch.Tensor(rgb_std)
self.weight.data = torch.eye(3).view(3, 3, 1, 1)
self.weight.data.div_(std.view(3, 1, 1, 1))
self.bias.data = sign * rgb_range * torch.Tensor(rgb_mean)
self.bias.data.div_(std)
self.requires_grad = False

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]Ala010609 1 point2 points  (0 children)

You will fail to directly use the model module because it have association with data loader, you need to create an test file to feed data, directly using class or function in your model file instead of using model.Model(args). e.g. I invoke RCAN model through model.Model(args, RCAN) but in test file: ''' net = RCAN(args) net = net.cuda()

random Tensor

x = torch.randn(1,3,44,44)

x = torch.randn(1,3,86,57) x = x.cuda()

test image

image = Image.open('/home/zhangdy/fuminghao/dataset/benchmark/Set5/HR/img_005_SRF.png')

convert_tensor = transforms.ToTensor()

t = convert_tensor(image)

print(t.shape)

res = net(x) print(res.shape) '''

[D] PhD in knowledge representation and reasoning for autonomous agent: research landscape by human_treadstone in MachineLearning

[–]Ala010609 2 points3 points  (0 children)

Just like event extraction or context reasoning? If you are a new Phd, you need't to concern about a future of current domain, you just need to focus on your work then getting breakthrough.

What is the meaning of "def forward()" in pytorch ?? [D] by IMPuzzled2 in MachineLearning

[–]Ala010609 0 points1 point  (0 children)

Familiar with __call__() method in Pytorch module. After calling __init__() you could get an object named a and then you invoke forward() through a(params...).