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另一个清单 https://www.yuque.com/lart/papers/list
ghost updated
4 years ago
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Networks composed of tanh, sigmoid, etc. and general nonlinear activations
Representative benchmark(s): control theory controllers
Questions: allow or disallow other nonlinearities as a sort of …
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If I only have images and pointclouds, how to train a new model for my own data set
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related paper
|摘要|
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|In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial pr…
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Hi, thanks for your work.
if no boundary perceiving loss is used, will the result keep the clear edge and show superpixel clustering in semantic segmentaion task?
do you think this method work well …
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## Generative Adversarial Networks(生成对抗网络)
- They are ML model that can image new things.
### Application(应用)
- GAN可以用于生成逼真的数据
- 例如说STACKGAN Model,它可以接收文本形式的描述,然后根据那个描述来生成相应的图片(这些图片都是被新创造出来的,不是从…
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This approach seems like a promising alternative to the cascaded 'find & segment' approach.
Here is the original paper: https://arxiv.org/abs/1703.06870
and some applications and adaptation to 3…
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### Metadata
Authors: Shamil Chollampatt and Hwee Tou Ng1
Organization: National University of Singapore
Release Date: 2018 on Arxiv
Link: https://arxiv.org/pdf/1801.08831.pdf
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### Team Name:
QuantumTunnelers
### Project Description:
Our project aims to create a hybrid model of popular object detection networks. Primarily, we are focusing on [RetinaNet](https://ar…
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**Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition**
**Key Features**
- Second edition of the bestselling book on Machine Learni…