-
## 一言でいうと
超解像(SR)のためのRDNを提案。RDNは階層的特徴を全て考慮できる方法。CNNベースのSRモデルが、オリジナルの低解像度(LR)画像から階層的特徴を全て使用するわけではないため、階層的特徴を考慮した。結果、最先端の方法に対して競争力のある性能を発揮した。
### 論文リンク
http://openaccess.thecvf.com/content_cvpr_2018/…
drkii updated
6 years ago
-
# Aggregated Residual Transformations for Deep Neural Networks #
- Author: Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
- Origin: https://arxiv.org/abs/1611.05431
- Related:
…
-
Hi,
I want to solve the problem addressed by this issue #608 in nnunetv2 as well.
Specifically, I want to get the feature maps extracted by Encoder and cluster the training dataset in some way.
…
-
#CVPR 2018
URL: https://arxiv.org/pdf/1802.08797.pdf
Keyword: SR, Residual Dense Network
Interest: 2
#오랜만의SR #아직도할게남았니 #나도다시한번도전?
> 수치적으로x2는 PSNR 40db에 가까워졌기 때문에, 이제 사람의 눈으로 좋고나쁨을 구별하긴 힘들어 …
-
## 一言でいうと
画像認識のモデルで、ResNetの2つのブロックからの出力をランダムに組み合わせる(Shake)モデルを提案。forward/backward共にShakeすることでCIFAR-10で2.72%のエラーレートを記録(しかもバッチ単位より個別の画像単位で適用したほうが精度が高い)。
### 論文リンク
https://openreview.net/forum?i…
-
https://github.com/facebookresearch/ResNeXt
-
### systemd version the issue has been seen with
256.5
### Used distribution
Debian sid/unstable
### Linux kernel version used
Linux 6.11.0-rc1
### CPU architectures issue was seen on
riscv64
…
-
Hi, thanks a lot for releasing the source code of your excellent work. After reading the paper, I found that it did not explain how can we obtain the goal image for a specifical task when running real…
-
In `spiking_vgg.py` average pooling is used in favor of max pooling for the VGG's pooling layers. What is the reason for this deviation?
-
Dear authors,
I recently read your outstanding paper titled "Boosting Residual Networks with Group Knowledge" and was thoroughly impressed by your innovative approach. The methods and results prese…