(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Caffe fork that supports Fast R-CNN
YoloV3 Implemented in Tensorflow 2.0
DeepLabV3+ implemented in TensorFlow2.0
Code for 3D object detection for autonomous driving
Models and examples built with TensorFlow
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
This is an unofficial inplementation of VoxelNet in TensorFlow.
Frustum PointNets for 3D Object Detection from RGB-D Data
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
End-to-End Learning from Tesla Autopilot Driving Data
Convolutional Neural Networks
COCO API - Dataset @ http://cocodataset.org/
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/