【扒网络架构】backbone、ccff

backbone

CCFF

还不知道网络连接方式，只是知道了每一层

backbone

backbone.backbone.conv1.weight torch.Size( $64, 3, 7, 7$ )
backbone.backbone.layer1.0.conv1.weight torch.Size( $64, 64, 1, 1$ )
backbone.backbone.layer1.0.conv2.weight torch.Size( $64, 64, 3, 3$ )
backbone.backbone.layer1.0.conv3.weight torch.Size( $256, 64, 1, 1$ )
backbone.backbone.layer1.0.downsample.0.weight torch.Size( $256, 64, 1, 1$ )
backbone.backbone.layer1.1.conv1.weight torch.Size( $64, 256, 1, 1$ )
backbone.backbone.layer1.1.conv2.weight torch.Size( $64, 64, 3, 3$ )
backbone.backbone.layer1.1.conv3.weight torch.Size( $256, 64, 1, 1$ )
backbone.backbone.layer1.2.conv1.weight torch.Size( $64, 256, 1, 1$ )
backbone.backbone.layer1.2.conv2.weight torch.Size( $64, 64, 3, 3$ )
backbone.backbone.layer1.2.conv3.weight torch.Size( $256, 64, 1, 1$ )
backbone.backbone.layer2.0.conv1.weight torch.Size( $128, 256, 1, 1$ )
backbone.backbone.layer2.0.conv2.weight torch.Size( $128, 128, 3, 3$ )
backbone.backbone.layer2.0.conv3.weight torch.Size( $512, 128, 1, 1$ )
backbone.backbone.layer2.0.downsample.0.weight torch.Size( $512, 256, 1, 1$ )
backbone.backbone.layer2.1.conv1.weight torch.Size( $128, 512, 1, 1$ )
backbone.backbone.layer2.1.conv2.weight torch.Size( $128, 128, 3, 3$ )
backbone.backbone.layer2.1.conv3.weight torch.Size( $512, 128, 1, 1$ )
backbone.backbone.layer2.2.conv1.weight torch.Size( $128, 512, 1, 1$ )
backbone.backbone.layer2.2.conv2.weight torch.Size( $128, 128, 3, 3$ )
backbone.backbone.layer2.2.conv3.weight torch.Size( $512, 128, 1, 1$ )
backbone.backbone.layer2.3.conv1.weight torch.Size( $128, 512, 1, 1$ )
backbone.backbone.layer2.3.conv2.weight torch.Size( $128, 128, 3, 3$ )
backbone.backbone.layer2.3.conv3.weight torch.Size( $512, 128, 1, 1$ )
backbone.backbone.layer3.0.conv1.weight torch.Size( $256, 512, 1, 1$ )
backbone.backbone.layer3.0.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.0.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer3.0.downsample.0.weight torch.Size( $1024, 512, 1, 1$ )
backbone.backbone.layer3.1.conv1.weight torch.Size( $256, 1024, 1, 1$ )
backbone.backbone.layer3.1.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.1.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer3.2.conv1.weight torch.Size( $256, 1024, 1, 1$ )
backbone.backbone.layer3.2.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.2.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer3.3.conv1.weight torch.Size( $256, 1024, 1, 1$ )
backbone.backbone.layer3.3.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.3.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer3.4.conv1.weight torch.Size( $256, 1024, 1, 1$ )
backbone.backbone.layer3.4.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.4.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer3.5.conv1.weight torch.Size( $256, 1024, 1, 1$ )
backbone.backbone.layer3.5.conv2.weight torch.Size( $256, 256, 3, 3$ )
backbone.backbone.layer3.5.conv3.weight torch.Size( $1024, 256, 1, 1$ )
backbone.backbone.layer4.0.conv1.weight torch.Size( $512, 1024, 1, 1$ )
backbone.backbone.layer4.0.conv2.weight torch.Size( $512, 512, 3, 3$ )
backbone.backbone.layer4.0.conv3.weight torch.Size( $2048, 512, 1, 1$ )
backbone.backbone.layer4.0.downsample.0.weight torch.Size( $2048, 1024, 1, 1$ )
backbone.backbone.layer4.1.conv1.weight torch.Size( $512, 2048, 1, 1$ )
backbone.backbone.layer4.1.conv2.weight torch.Size( $512, 512, 3, 3$ )
backbone.backbone.layer4.1.conv3.weight torch.Size( $2048, 512, 1, 1$ )
backbone.backbone.layer4.2.conv1.weight torch.Size( $512, 2048, 1, 1$ )
backbone.backbone.layer4.2.conv2.weight torch.Size( $512, 512, 3, 3$ )
backbone.backbone.layer4.2.conv3.weight torch.Size( $2048, 512, 1, 1$ )
backbone.backbone.fc.weight torch.Size( $1000, 2048$ )
backbone.backbone.fc.bias torch.Size( $1000$ )

ccf

ccff.conv1.conv.weight torch.Size( $3584, 3584, 1, 1$ )
ccff.conv1.norm.weight torch.Size( $3584$ )
ccff.conv1.norm.bias torch.Size( $3584$ )
ccff.conv2.conv.weight torch.Size( $3584, 3584, 1, 1$ )
ccff.conv2.norm.weight torch.Size( $3584$ )
ccff.conv2.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.0.conv1.conv.weight torch.Size( $3584, 3584, 3, 3$ )
ccff.bottlenecks.0.conv1.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.0.conv1.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.0.conv2.conv.weight torch.Size( $3584, 3584, 1, 1$ )
ccff.bottlenecks.0.conv2.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.0.conv2.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.1.conv1.conv.weight torch.Size( $3584, 3584, 3, 3$ )
ccff.bottlenecks.1.conv1.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.1.conv1.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.1.conv2.conv.weight torch.Size( $3584, 3584, 1, 1$ )
ccff.bottlenecks.1.conv2.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.1.conv2.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.2.conv1.conv.weight torch.Size( $3584, 3584, 3, 3$ )
ccff.bottlenecks.2.conv1.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.2.conv1.norm.bias torch.Size( $3584$ )
ccff.bottlenecks.2.conv2.conv.weight torch.Size( $3584, 3584, 1, 1$ )
ccff.bottlenecks.2.conv2.norm.weight torch.Size( $3584$ )
ccff.bottlenecks.2.conv2.norm.bias torch.Size( $3584$ )

input_proj

input_proj.weight torch.Size( $256, 3584, 1, 1$ )
input_proj.bias torch.Size( $256$ )

encoder

encoder.layers.0.norm1.weight torch.Size( $256$ )
encoder.layers.0.norm1.bias torch.Size( $256$ )
encoder.layers.0.norm2.weight torch.Size( $256$ )
encoder.layers.0.norm2.bias torch.Size( $256$ )
encoder.layers.0.self_attn.in_proj_weight torch.Size( $768, 256$ )
encoder.layers.0.self_attn.in_proj_bias torch.Size( $768$ )
encoder.layers.0.self_attn.out_proj.weight torch.Size( $256, 256$ )
encoder.layers.0.self_attn.out_proj.bias torch.Size( $256$ )
encoder.layers.0.mlp.linear1.weight torch.Size( $2048, 256$ )
encoder.layers.0.mlp.linear1.bias torch.Size( $2048$ )
encoder.layers.0.mlp.linear2.weight torch.Size( $256, 2048$ )
encoder.layers.0.mlp.linear2.bias torch.Size( $256$ )
encoder.layers.1.norm1.weight torch.Size( $256$ )
encoder.layers.1.norm1.bias torch.Size( $256$ )
encoder.layers.1.norm2.weight torch.Size( $256$ )
encoder.layers.1.norm2.bias torch.Size( $256$ )
encoder.layers.1.self_attn.in_proj_weight torch.Size( $768, 256$ )
encoder.layers.1.self_attn.in_proj_bias torch.Size( $768$ )
encoder.layers.1.self_attn.out_proj.weight torch.Size( $256, 256$ )
encoder.layers.1.self_attn.out_proj.bias torch.Size( $256$ )
encoder.layers.1.mlp.linear1.weight torch.Size( $2048, 256$ )
encoder.layers.1.mlp.linear1.bias torch.Size( $2048$ )
encoder.layers.1.mlp.linear2.weight torch.Size( $256, 2048$ )
encoder.layers.1.mlp.linear2.bias torch.Size( $256$ )
encoder.layers.2.norm1.weight torch.Size( $256$ )
encoder.layers.2.norm1.bias torch.Size( $256$ )
encoder.layers.2.norm2.weight torch.Size( $256$ )
encoder.layers.2.norm2.bias torch.Size( $256$ )
encoder.layers.2.self_attn.in_proj_weight torch.Size( $768, 256$ )
encoder.layers.2.self_attn.in_proj_bias torch.Size( $768$ )
encoder.layers.2.self_attn.out_proj.weight torch.Size( $256, 256$ )
encoder.layers.2.self_attn.out_proj.bias torch.Size( $256$ )
encoder.layers.2.mlp.linear1.weight torch.Size( $2048, 256$ )
encoder.layers.2.mlp.linear1.bias torch.Size( $2048$ )
encoder.layers.2.mlp.linear2.weight torch.Size( $256, 2048$ )
encoder.layers.2.mlp.linear2.bias torch.Size( $256$ )
encoder.norm.weight torch.Size( $256$ )
encoder.norm.bias torch.Size( $256$ )

ope

ope.iterative_adaptation.layers.0.norm1.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.0.norm1.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.0.norm2.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.0.norm2.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.0.norm3.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.0.norm3.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.0.self_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.0.self_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.0.self_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.0.self_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.0.enc_dec_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.0.enc_dec_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.0.enc_dec_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.0.enc_dec_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.0.mlp.linear1.weight torch.Size( $2048, 256$ )
ope.iterative_adaptation.layers.0.mlp.linear1.bias torch.Size( $2048$ )
ope.iterative_adaptation.layers.0.mlp.linear2.weight torch.Size( $256, 2048$ )
ope.iterative_adaptation.layers.0.mlp.linear2.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm1.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm1.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm2.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm2.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm3.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.1.norm3.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.self_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.1.self_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.1.self_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.1.self_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.enc_dec_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.1.enc_dec_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.1.enc_dec_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.1.enc_dec_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.1.mlp.linear1.weight torch.Size( $2048, 256$ )
ope.iterative_adaptation.layers.1.mlp.linear1.bias torch.Size( $2048$ )
ope.iterative_adaptation.layers.1.mlp.linear2.weight torch.Size( $256, 2048$ )
ope.iterative_adaptation.layers.1.mlp.linear2.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm1.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm1.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm2.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm2.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm3.weight torch.Size( $256$ )
ope.iterative_adaptation.layers.2.norm3.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.self_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.2.self_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.2.self_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.2.self_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.enc_dec_attn.in_proj_weight torch.Size( $768, 256$ )
ope.iterative_adaptation.layers.2.enc_dec_attn.in_proj_bias torch.Size( $768$ )
ope.iterative_adaptation.layers.2.enc_dec_attn.out_proj.weight torch.Size( $256, 256$ )
ope.iterative_adaptation.layers.2.enc_dec_attn.out_proj.bias torch.Size( $256$ )
ope.iterative_adaptation.layers.2.mlp.linear1.weight torch.Size( $2048, 256$ )
ope.iterative_adaptation.layers.2.mlp.linear1.bias torch.Size( $2048$ )
ope.iterative_adaptation.layers.2.mlp.linear2.weight torch.Size( $256, 2048$ )
ope.iterative_adaptation.layers.2.mlp.linear2.bias torch.Size( $256$ )
ope.iterative_adaptation.norm.weight torch.Size( $256$ )
ope.iterative_adaptation.norm.bias torch.Size( $256$ )

ope.shape_or_objectness

ope.shape_or_objectness.0.weight torch.Size( $64, 2$ )
ope.shape_or_objectness.0.bias torch.Size( $64$ )
ope.shape_or_objectness.2.weight torch.Size( $256, 64$ )
ope.shape_or_objectness.2.bias torch.Size( $256$ )
ope.shape_or_objectness.4.weight torch.Size( $2304, 256$ )
ope.shape_or_objectness.4.bias torch.Size( $2304$ )

回归头

regression_head.regressor.0.layer.0.weight torch.Size( $128, 256, 3, 3$ )
regression_head.regressor.0.layer.0.bias torch.Size( $128$ )
regression_head.regressor.1.layer.0.weight torch.Size( $64, 128, 3, 3$ )
regression_head.regressor.1.layer.0.bias torch.Size( $64$ )
regression_head.regressor.2.layer.0.weight torch.Size( $32, 64, 3, 3$ )
regression_head.regressor.2.layer.0.bias torch.Size( $32$ )
regression_head.regressor.3.weight torch.Size( $1, 32, 1, 1$ )
regression_head.regressor.3.bias torch.Size( $1$ )

辅助头

aux_heads.0.regressor.0.layer.0.weight torch.Size( $128, 256, 3, 3$ )
aux_heads.0.regressor.0.layer.0.bias torch.Size( $128$ )
aux_heads.0.regressor.1.layer.0.weight torch.Size( $64, 128, 3, 3$ )
aux_heads.0.regressor.1.layer.0.bias torch.Size( $64$ )
aux_heads.0.regressor.2.layer.0.weight torch.Size( $32, 64, 3, 3$ )
aux_heads.0.regressor.2.layer.0.bias torch.Size( $32$ )
aux_heads.0.regressor.3.weight torch.Size( $1, 32, 1, 1$ )
aux_heads.0.regressor.3.bias torch.Size( $1$ )
aux_heads.1.regressor.0.layer.0.weight torch.Size( $128, 256, 3, 3$ )
aux_heads.1.regressor.0.layer.0.bias torch.Size( $128$ )
aux_heads.1.regressor.1.layer.0.weight torch.Size( $64, 128, 3, 3$ )
aux_heads.1.regressor.1.layer.0.bias torch.Size( $64$ )
aux_heads.1.regressor.2.layer.0.weight torch.Size( $32, 64, 3, 3$ )
aux_heads.1.regressor.2.layer.0.bias torch.Size( $32$ )
aux_heads.1.regressor.3.weight torch.Size( $1, 32, 1, 1$ )
aux_heads.1.regressor.3.bias torch.Size( $1$ )

Total number of parameters in LOCA: 447974251

Total number of parameters in CCFF: 411099136（这个模块，参数量好大）