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ZhenYe's repositories

BLVD

Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

Language:Python166 10 9

avod

Code for 3D object detection for autonomous driving

Language:PythonMIT020

caffe-tensorflow

Caffe models in TensorFlow

Language:PythonNOASSERTION010

d

emmm

010

FPN_Tensorflow

A Tensorflow implementation of FPN detection framework.

Language:Python020

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

Language:PythonApache-2.0020

HRNet-Object-Detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Language:PythonApache-2.0020

M2Det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Language:PythonMIT010

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Language:Jupyter NotebookNOASSERTION020

models

Models and examples built with TensorFlow

Language:PythonApache-2.0010

MV3D_TF

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

Language:Jupyter NotebookMIT020

second.pytorch

SECOND for KITTI object detection

Language:PythonMIT010

SR-LSTM

States Refinement LSTM

Language:PythonMIT020

TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

Language:PythonMIT020

Trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

MIT000