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[DOC] Added paper citation for DeformConv2d #3000

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Nov 16, 2020
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[DOC] Added paper citation for DeformConv2d #3000

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e63d5e0
[DOC] Added paper citation for DeformConv2d
hassiahk Nov 13, 2020
13c6305
Fixes Pylint error
hassiahk Nov 13, 2020
8029b99
Added citation of the previous paper
hassiahk Nov 13, 2020
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11 changes: 8 additions & 3 deletions torchvision/ops/deform_conv.py
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Expand Up @@ -19,8 +19,13 @@ def deform_conv2d(
dilation: Tuple[int, int] = (1, 1),
mask: Optional[Tensor] = None,
) -> Tensor:
"""
Performs Deformable Convolution, described in Deformable Convolutional Networks
r"""
Performs Deformable Convolution v2, described in
`Deformable ConvNets v2: More Deformable, Better Results
<https://arxiv.org/abs/1811.11168>`__ if :attr:`mask` is not ``None`` and
Performs Deformable Convolution, described in
`Deformable Convolutional Networks
<https://arxiv.org/abs/1703.06211>`__ if :attr:`mask` is ``None``.

Arguments:
input (Tensor[batch_size, in_channels, in_height, in_width]): input tensor
Expand All @@ -36,7 +41,7 @@ def deform_conv2d(
dilation (int or Tuple[int, int]): the spacing between kernel elements. Default: 1
mask (Tensor[batch_size, offset_groups * kernel_height * kernel_width,
out_height, out_width]): masks to be applied for each position in the
convolution kernel.
convolution kernel. Default: None

Returns:
output (Tensor[batch_sz, out_channels, out_h, out_w]): result of convolution
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