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task
|cheetsheet|translator|
|--|--|
|Convolutional Neural Networks|@zhyongquan|
|Recurrent Neural Networks|@alphadl|
Tips and tricks||
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1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…
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A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
This project illus…
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**Project Name:**
Quantum Temporal Convolutional Networks and Their Application to Weather Forecasting
**Team Name:**
cyx
**Which challenges would you like to submit your project for?**
…
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> A PyTorch-Based Framework for Deep Learning in Computer Vision
- **待完善**
- [Image Classification](https://github.com/youansheng/torchcv/tree/master/methods/cls)
- VGG: Very Deep Convolu…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Human Dataset Visualization
:red_circle: **Aim** : Here I will convert the human3.6M dataset from txt file to image fr…
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https://arxiv.org/pdf/1803.01271.pdf
#### Subject
+ An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
+ 시퀀스 모델링을 위한 일반 컨볼루션 및 반복 네트워크의 실증적 평가
#### A…
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https://www.researchgate.net/publication/302514661_Multispectral_Pedestrian_Detection_using_Deep_Fusion_Convolutional_Neural_Networks
Maybe the first deep learning based multi-spectral pedestrian d…
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## 0. 論文
### タイトル
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
### 論文リンク
https://www.aclweb.org/anthology/P15-1026
### 著者
Li Dong†∗ Furu Wei‡ Ming Zhou‡ Ke Xu…
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if we get a sparse model, is there an effective way to do sparse convolutional for inference? I just know 2015 CVPR paper "Sparse Convolutional Neural Networks", is there exit another more effective…