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1 Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets https://arxiv.org/abs/1803.04953
类似于SDN的思想,就是把多个U-NET堆叠在一起,解决遥感图像的标注,没有说明为什么堆叠就带来了好的效果
2 Creating Roadmaps in Aerial I…
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Hi all,
I want to use EBM as a GAM to replace the fully connected layer at the end of a large CNN/Transformer to get interpretable output. However, I need to train the EBM like a deep learning model,…
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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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### Metadata: Knowledge Distillation Meets Self-Supervision
- Author: Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy
- Organization: The Chinese University of Hong Kong & Nanyang Technological …
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* paper: https://arxiv.org/abs/1711.06368
* +5 AP for small model, and + 2.8 AP for big model
* Implement conv Bottleneck-LSTM that gives +3-5 AP and very cheap ~+1% BFLOPS
![image](https://u…
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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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## Goal
The main goal of this project is to develop a classification model capable of accurately distinguishing between images of children and adults. The purpose is to explore the performance of d…
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I have modified [MobileNet model](https://github.com/camel007/caffe2-mobilenet)
```
## @package moiblenet
# Module caffe2.python.models.mobilenet
from __future__ import absolute_import
from __f…
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Hello. I recently read your paper and I am interested in implementing your dead reckoning algorithm on an RC car equipped with a raspberry pi, GPS, and IMU. I was wondering if you had any suggestions …