#
resnest
Here are 5 public repositories matching this topic...
Gary-Deeplearning
commented
Jul 17, 2020
HI, the repo is a nice work, thanks for your sharing.
I want to know if these augmentation methods are effective,
like the RandomErasing/Mixup/RandAugment/Cutout/CutMix?
Insightface Keras implementation
-
Updated
Aug 20, 2020 - Python
labeling tool that allows easy plugin of detection networks that can assist in the labeling process
pascal
pytorch
object-detection
annotation-tool
ms-coco
gluoncv
pysimplegui
detectron2
resnest
yolov5
-
Updated
Jul 13, 2020 - Python
Improve this page
Add a description, image, and links to the resnest topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the resnest topic, visit your repo's landing page and select "manage topics."
Hello! In the Torch version of
Bottleneck, it appears thatself.dropblock2is never used.self.dropblock2is initialized in lines 52-56 ifradix == 1:https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/resnet.py#L52-L56