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Paper : https://arxiv.org/pdf/2103.14843.pdf
## Introduction
오늘 읽어볼 논문은 CVPR 2021년에 소개된 "From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation" 입니다.
Synthetic …
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I tried to implemented the regression loss function as follows:
```
function Y = vl_l2normloss(X,c,dzdy)
assert(numel(X) == numel(c));
% n = sizer(X,1) * size(X,2);
n = size(X,4);
if nargin
luzhi updated
8 years ago
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Hello, I have a (probably basic) question. I was wondering if it is possible to use NT's stax implementation to do a more basic neural net. I'm attempting to embed some continuous sequences into _n_-d…
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My dataset is 184G in the dump folder, and I have approximately 150 speakers with mixed songs and speech, and I used the default recipe settings. After the model finished training at 400k steps, the g…
ghost updated
3 years ago
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(1)検出ベースモデル Detection based
・画像のスライディングウィンドウを介して人もしくは頭部を検出する。
・近年では、R-CNN/YOLO/SSDなどが劇的に精度改善に貢献する可能性はある。
・ただし、非常に密集した群衆に関しては効果が期待できない。
(2)回帰ベースモデル Regression-based
・検出ベースモデルで解決できなかった問題を軽減するため…
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Hi
i am working on implementation to reproduce this paper with pytorch.
But stuck in the pre-train a APN network.
Original code doesn't give the details about learning a APN network, step2.
Al…
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
http://arxiv.org/abs/1608.03981
With residual connection, we can train very deep, deeper convolution network. The paper …
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hi guy, thanks for your awesome effort. Now I'm try to predict some videos(Regression module) but found that some related models are not there. can you please
share some models to verify the performa…
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