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https://github.com/dalmia/machine-learning-paper-notes

This repository contains my notes for the research papers that I read for anyone to briefly glance over the details.
https://github.com/dalmia/machine-learning-paper-notes

change-detection computer-vision convolutional-neural-networks deep-learning machine-learning recurrent-neural-networks

Last synced: 5 months ago
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This repository contains my notes for the research papers that I read for anyone to briefly glance over the details.

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# machine-learning-paper-notes
This repository contains my notes for the research papers that I read since the creation of the repository for anyone to briefly glance over the details. The papers are arranged topic-wise:

- [Computer Vision](#computer-vision)
- [Change Detection](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/change-detection)
- [Semantic Segmentation](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/semantic-segmentation)
- [Weakly supervised Semantic Segmentation](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/weakly-supervised-segmentation)

## Computer Vision

- **Change Detection**

- [Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k -Means Clustering](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Unsupervised%20Change%20Detection%20in%20Satellite%20Using%20PCA%20%2B%20kmeans.md) ([IEEE](https://ieeexplore.ieee.org/abstract/document/5196726/))
- [Automatic analysis of the difference image for unsupervised change detection](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Automatic%20analysis%20of%20the%20difference%20image%20for%20unsupervised%20change%20detection.md) ([IEEE](https://ieeexplore.ieee.org/document/843009/))
- [Change Detection in Satellite Images Using a Genetic Algorithm Approach](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Change%20Detection%20in%20Satellite%20Images%20Using%20a%20Genetic%20Algorithm%20Approach.md) ([IEEE](https://ieeexplore.ieee.org/document/5395684/))
- [Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Change%20Detection%20in%20Synthetic%20Aperture%20Radar%20Images%20Based%20on%20Deep%20Neural%20Networks.md) ([IEEE](https://ieeexplore.ieee.org/document/7120131/))
- [Recurrent Neural Networks to Correct Satellite Image Classification Maps](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Recurrent%20Neural%20Networks%20to%20Correct%20Satellite%20Image%20Classification.md) ([IEEE](https://ieeexplore.ieee.org/document/7938635))
- [Damage Detection from Aerial Images via Convolutional Neural Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Damage%20Detection%20from%20Aerial%20Images%20via%20Convolutional%20Neural%20Networks.md) ([IEEE](https://ieeexplore.ieee.org/document/7986759/))

- **Semantic Segmentation**
- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/U-Net.md) ([arXiV](https://arxiv.org/abs/1505.04597), [Code](https://github.com/zhixuhao/unet))
- [V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/V-net.md)([arXiV](https://arxiv.org/abs/1606.04797), [Code](https://github.com/faustomilletari/VNet))
- [Rethinking Atrous Convolution for Semantic Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/DeepLabV3.md)([arXiV](https://arxiv.org/abs/1706.05587), [Code](https://github.com/bonlime/keras-deeplab-v3-plus))

- **Weakly supervised Semantic Segmentation**
- [Learning deep structured network for weakly supervised change detection](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Learning%20deep%20structured%20network%20for%20weakly%20supervised%20change%20detection.md) ([arXiV](https://arxiv.org/abs/1606.02009))
- [From Image-level to Pixel-level Labeling with Convolutional Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/weakly-supervised-segmentation/From%20Image-Level%20to%20Pixel-level%20Labeling%20with%20Convolutional%20Neural%20Networks.md) ([arXiV](https://arxiv.org/abs/1411.6228v3), [Code](https://github.com/ameya005/Deep-Segmentation))
- [Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation]() ([arXiV](https://arxiv.org/abs/1705.09052), [Code](https://github.com/ascust/wsscoseg))
- [Learning Pixel-level Semantic Affinity with Image-level Supervision
for Weakly Supervised Semantic Segmentation]() ([arXiV](https://arxiv.org/abs/1803.10464))
- [Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation]() ([arXiv](https://arxiv.org/abs/1612.02766))
- [Simple Does It: Weakly Supervised Instance and Semantic Segmentation]() ([arXiV](https://arxiv.org/abs/1603.07485))