ResNet-D
ResNet-D
**ResNet-D** is a modification on the [ResNet](https://paperswithcode.com/method/resnet) architecture that utilises an [average pooling](https://paperswithcode.com/method/average-pooling) tweak for downsampling. The motivation is that in the unmodified ResNet, the 1 × 1 [convolution](https://paperswithcode.com/method/convolution) for the downsampling block ignores 3/4 of input feature maps, so this is modified so no information will be ignored
Bag of Tricks for Image Classification with Convolutional Neural Networks
https://paperswithcode.com/paper/bag-of-tricks-for-image-classification-with
Bag of Tricks for Image Classification with Convolutional Neural Networks