zhaoweicai/mscnn
A Caffe-based multi-scale convolutional neural network for fast object detection targeting autonomous driving applications.
Not currently ranked — collecting fresh signals.
star history
MS-CNN is a unified multi-scale object detection framework based on deep convolutional networks. It combines an object proposal sub-network with an object detection sub-network that can be trained end-to-end together. Built on the Caffe deep learning framework with CUDA and cuDNN support for GPU acceleration.
Frequently asked
- What is zhaoweicai/mscnn?
- A Caffe-based multi-scale convolutional neural network for fast object detection targeting autonomous driving applications.
- Is mscnn open source?
- Yes — zhaoweicai/mscnn is an open-source project tracked on heatdrop.
- What language is mscnn written in?
- zhaoweicai/mscnn is primarily written in C++.
- How popular is mscnn?
- zhaoweicai/mscnn has 407 stars on GitHub.
- Where can I find mscnn?
- zhaoweicai/mscnn is on GitHub at https://github.com/zhaoweicai/mscnn.