Speech recognition module for Python, supporting several engines and APIs, online and offline.

A python implementation of KITTI evaluation code for 2D detection task.

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Implement CBAM：Convolutional Block Attention Module with TensorFlow

Yunfan Chen, Han Xie, and Hyunchul Shin, "Multi-layer fusion techniques using a CNN for multispectral pedestrian detection," IET Computer Vision 12, 1179-1187 (2018). http://dx.doi.org/10.1049/iet-…

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

VggML (ICPR 2018, Beijing)

Time Series Prediction with tf.contrib.timeseries

Open source Python module for computer vision

📖Python计算机视觉中译本实例代码

The purpose of this project is to reimplement the following paper: https://arxiv.org/pdf/1611.10012.pdf using tensorflow

An Open Source Machine Learning Framework for Everyone

RPN+BF

R-CNN: Regions with Convolutional Neural Network Features

Deep Residual Learning for Image Recognition

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]

Object detection via a multi-region & semantic segmentation-aware CNN model

Convolutional Neural Networks for Pedestrian Detection

Caffe implementation of our multi-scale object detection framework

RPN+BF

Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017

OHEM support for Fast R-CNN