154 Commits (2681a8d618ba85085369bcf22a89c6fb4c5076be)

Author	SHA1	Message	Date
Ross Wightman	2681a8d618	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	5 years ago
Ross Wightman	9590f301a9	Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur	5 years ago
Ross Wightman	0834fbc01c	Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.	5 years ago
Ross Wightman	ba793f5c1c	Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet	5 years ago
AFLALO, Jonathan Isaac	07f19dd699	added eca resnet	5 years ago
Ross Wightman	be7c784d21	Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference	5 years ago
Ross Wightman	e3a98171b2	Remove some CRLF that made it into TResNet merge	5 years ago
Ross Wightman	0004f37d25	Some TResNet cleanup. ... * allow use of global pool arg, test-time-pooling * clean checkpoints to just contain state dict, add 448 res checkpoints * support DataParallel via lazy filter creation for JIT Downsample * some minor formatting (mostly alignment) preferences	5 years ago
Ross Wightman	ebf82b84ac	Merge pull request #122 from mrT23/master ... TResNet models	5 years ago
Alexey Chernov	bdb165a8a4	Merge changes in feature extraction interface to MobileNetV3 ... Experimental feature extraction interface seems to be changed a little bit with the most up to date version apparently found in EfficientNet class. Here these changes are added to MobileNetV3 class to make it support it and work again, too.	5 years ago
talrid	8a63c1add8	finalizing	5 years ago
talrid	6209146738	TResNet models	5 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
Chris Ha	06a50a94a8	Fix minor typos in create_attn.py and resnet.py ... 'eca'->'ceca' and doest not-> does not	5 years ago
Ross Wightman	1a9ab07307	One too many changes at a time, fix missing C	5 years ago
Ross Wightman	f17b42bc33	Blur filter no longer a buffer	5 years ago
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
Chris Ha	ce3d82b58b	Update blurpool.py ... clean up code for PR	5 years ago
Chris Ha	3a287a6e76	Create blurpool.py ... Initial implementation of blur layer. currently tests as correct against Downsample of original github	5 years ago
Ross Wightman	c99a5abed4	Merge pull request #115 from rwightman/mobilenetv2-experiment ... MobileNet-V2 experiments	5 years ago
Ross Wightman	e34074b4da	Add final weights for MobileNet-V2 experiments	5 years ago
Ross Wightman	a6a5565de7	Fiddling...	5 years ago
Ross Wightman	5a16c533ff	Add better resnext50_32x4d weights trained by andravin	5 years ago
Ross Wightman	bc998cad91	Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite	5 years ago
Ross Wightman	3406e582cf	Add EfficientNet-Lite results, update README	5 years ago
Ross Wightman	bd05258f7b	EfficientNet-Lite model added w/ converted checkpoints, validation in progress...	5 years ago
Ross Wightman	56e2ac3a6d	Merge pull request #94 from rwightman/lr_noise ... Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change	5 years ago
Ross Wightman	c16f25ced2	Add MobileNetV3 Large weights, results, update README and sotabench for merge	5 years ago
Ross Wightman	c60069c1eb	Annotate types on drop fns to avoid torchscript error	5 years ago
Ross Wightman	9fee316752	Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84	5 years ago
Ross Wightman	43225d110c	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
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	53c47479c4	Batch validation batch size adjustment, tweak L2 crop pct	5 years ago
Ross Wightman	08553e16b3	Merge branch 'master' into attention	5 years ago
Ross Wightman	fa38f24967	Update SK network configs, add weights for skresnet8 and skresnext50	5 years ago
Ross Wightman	ba15ca47e8	Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU	5 years ago
Ross Wightman	5e6dbbaf30	Add CBAM for experimentation	5 years ago
Ross Wightman	d725991870	Remove debug print from ECA module	5 years ago
Ross Wightman	2a7d256fd5	Re-enable mem-efficient/jit activations after torchscript tests	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	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	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
Ross Wightman	7011cd0902	A little bit of ECA cleanup	5 years ago
Ross Wightman	46471df7b2	Merge pull request #82 from VRandme/eca ... ECA-Net Efficient Channel Attention	5 years ago
Ross Wightman	d0eb59ef46	Remove unused default_init for EfficientNets, experimenting with fanout calc for #84	5 years ago
Chris Ha	e6a762346a	Implement Adaptive Kernel selection ... When channel size is given, calculate adaptive kernel size according to original paper. Otherwise use the given kernel size(k_size), which defaults to 3	5 years ago