doctorwk007 Goto Github PK

crl

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cv-news

Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation,CVPR,ECCV,ICCV,MICCAI)

cv_paperdaily

CV 每日论文阅读笔记（日更）

cvpr2019

cvpr2019 papers，极市团队整理

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

data_fusion_ekf_imu_camera

A training code for data fusion. States (world frame): position, orientation(Euler angles, ZXY), velocity, gyroscope bais, acceleration bais.

dataset2bag

Dataset to rosbag converter utility

dbow3

Improved version of DBow2

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-scene-classification

Comparison of Scene Classification accuracy between Histogram, SIFT and Deep Learning based features

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepforest

Tree segmentation and classification using lidar and hyperspectral data with convolutional neural networks.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-notes

基于Andrew Ng DeepLearning.ai课程的学习笔记

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmatchvo

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

deepv2d

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

dense-sptam

Dense S-PTAM

densedepthmap

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping". Full code will be released when the paper is accepted.

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

didi-challenge-17

ROS Implementation of our solution to Didi Challenge 2017.

director

A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu