37 Commits (6cdeca24a389cce7693e043b89db04e230b3a405)

Author	SHA1	Message	Date
Ross Wightman	6cdeca24a3	Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...	5 years ago
Chris Ha	acd1b6cccd	Implement Functional Blur on resnet.py ... 1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks	5 years ago
Ross Wightman	5a16c533ff	Add better resnext50_32x4d weights trained by andravin	5 years ago
Ross Wightman	f1d5f8a6c4	Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights	5 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago
Ross Wightman	f54612f648	Merge branch 'select_kernel' into attention	5 years ago
Ross Wightman	4defbbbaa8	Fix module name mistake, start layers sub-package	5 years ago
Chris Ha	db91ba053b	EcaModule(CamelCase) ... CamelCased EcaModule. Renamed all instances of ecalayer to EcaModule. eca_module.py->EcaModule.py	5 years ago
Chris Ha	f87fcd7e88	Implement Eca modules ... implement ECA module by 1. adopting original eca_module.py into models folder 2. adding use_eca layer besides every instance of SE layer	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 ... * always apply attention in SelectKernelConv, leave MixedConv for no attention alternative * make MixedConv torchscript compatible * refactor first/previous dilation name to make more sense in ResNet* networks	5 years ago
Ross Wightman	58e28dc7e7	Move Selective Kernel blocks/convs to their own sknet.py file	5 years ago
Ross Wightman	a93bae6dc5	A SelectiveKernelBasicBlock for more experiments	5 years ago
Ross Wightman	ad087b4b17	Missed bias=False in selection conv	5 years ago
Ross Wightman	c8b3d6b81a	Initial impl of Selective Kernel Networks. Very much a WIP.	5 years ago
Ross Wightman	12dbc74742	New ResNet50 JSD + RandAugment weights	5 years ago
Ross Wightman	2f41905ba5	Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.	5 years ago
Ross Wightman	a28117ea46	Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d	5 years ago
Ross Wightman	53001dd292	ResNet / Res2Net additions: ... * ResNet torchscript compat * output_stride arg supported to limit network stride via dilations (support for dilation added to Res2Net) * allow activation layer to be changed via act_layer arg	5 years ago
Ross Wightman	19fc205a4d	Update comments on the new SE-ResNeXt26 models	5 years ago
rwightman	1f4498f217	Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d	5 years ago
Ross Wightman	3bef524f9c	Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.	5 years ago
Ross Wightman	5a0a8de7e3	ResNet updates: ... * remove redundant GluonResNet model/blocks and use the code in ResNet for Gluon weights * change SEModules back to using AdaptiveAvgPool instead of mean, PyTorch issue long fixed	5 years ago
Ross Wightman	b93fcf0708	Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.	5 years ago
rwightman	adbf770f16	Add Res2Net and DLA models w/ pretrained weights. Update sotabench.	5 years ago
Ross Wightman	fac58f609a	Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak. ... * Add some of the trendy new optimizers. Decent results but not clearly better than the standards. * Can create a None scheduler for constant LR * ResNet defaults to zero_init of last BN in residual * add resnet50d config	5 years ago
Ross Wightman	3d9be78fc6	A bit more ResNet cleanup. ... * add inplace=True back * minor comment improvements * few clarity changes	5 years ago
Ross Wightman	33436fafad	Add weights for ResNeXt50d model	5 years ago
Ross Wightman	e78cd79073	Move ResNet additions for Gluon into main ResNet impl. Add ResNet-26 and ResNet-26d models with weights.	5 years ago
Ross Wightman	9b0070edc9	Add two comments back, fix typo	5 years ago
Ross Wightman	b8762cc67d	Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights. ... * Remove some models that don't exist as pretrained an likely never will (se)resnext152 * Add some torchvision weights as tv_ for models that I have added better weights for * Add wide resnet recently added to torchvision along with resnext101-32x8d * Add functionality to model registry to allow filtering on pretrained weight presence	5 years ago
Ross Wightman	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	5 years ago
Ross Wightman	8512436436	Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/, update README	5 years ago
Ross Wightman	6cc214bd7a	Consistency in model entrypoints ... * move pretrained entrypoint arg to first pos to be closer to torchvision/hub * change DPN weight URLS to my github location	5 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	5 years ago