Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
364 Commits
41 Branches
41 Tags
28 MiB
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'ce3d82b58b'
${ noResults }
Commit Graph

12 Commits (ce3d82b58b2eb3e526de5df608cfc7d181b8c916)

Author SHA1 Message Date
Ross Wightman f1d5f8a6c4 Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
Ross Wightman 569419b38d Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
5 years ago
Ross Wightman fa38f24967 Update SK network configs, add weights for skresnet8 and skresnext50
5 years ago
Ross Wightman f902bcd54c Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
5 years ago
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman 13e8da2b46 SelectKernel split_input works best when input channels split like grouped conv, but output is full width. Disable zero_init for SK nets, seems a bad combo.
5 years ago
Ross Wightman 7d07ebb660 Adding some configs to sknet, incl ResNet50 variants from 'Compounding ... Assembled Techniques' paper and original SKNet50
5 years ago
Ross Wightman a9d2424fd1 Add separate zero_init_last_bn function to support more block variety without a mess
5 years ago
Ross Wightman 9f11b4e8a2 Add ConvBnAct layer to parallel integrated SelectKernelConv, add support for DropPath and DropBlock to ResNet base and SK blocks
5 years ago
Ross Wightman cefc9b7761 Move SelectKernelConv to conv2d_layers and more
5 years ago
Ross Wightman 9abe610931 Used wrong channel var for split
5 years ago
Ross Wightman 58e28dc7e7 Move Selective Kernel blocks/convs to their own sknet.py file
5 years ago