↓ 2 callersMethod__init__(
self,
in_planes,
out_planes,
kernel_size,
stride=1,
padding=
code/channel_spatial_attentions/triplet_attention.py:7
↓ 2 callersMethodrelative_logits_1d(self, q, rel_k, H, W, Nh, case)
code/spatial_attentions/attention_augmented_module.py:99
↓ 1 callersMethod__init__(self, in_channels, out_channels=None, kernel_size=3, stride=1, padding=None,
dilation=1, gro
code/branch_attentions/resnest_module.py:36
Method__init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
code/spatial_attentions/segformer_module.py:7
Method__init__(self, in_channels, out_channels, kernel_size, dk, dv, Nh, relative)
code/spatial_attentions/attention_augmented_module.py:7
Method__init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
code/spatial_attentions/mhsa.py:6
Method__init__(self, inplanes, planes, stride, padding, dilation, groups, pooling_r, norm_layer)
code/channel_spatial_attentions/scnet.py:7
Method__init__(self, in_planes, out_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True, bn=True, bias
code/channel_spatial_attentions/cbam.py:6
Method__init__(self, channel, dct_h, dct_w, reduction=16, freq_sel_method='top16')
code/channel_attentions/fcanet.py:39