wdxpython

Octave-Convolution

https://arxiv.org/abs/1904.05049

AFSSD

An Accurate and Fast Single Shot Multibox Detector

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet)

best_voxelnet_ever

VoxelNet Implementation for Usage on Win and Linux Systems

DBScan-PCL-Optimized

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DINK

🚕点云深度学习框架 | Point cloud Deep learning Framework🚕

edafa

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Lidar-Segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

nuscenes-devkit

The devkit of the nuScenes dataset.

object_builders_lib

Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.

PointRCNN

The PyTorch Implementation of PointRCNN, CVPR 2019.

RFBNet

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

RL-Teaching_chinese

second.pytorch

PointPillars for KITTI object detection

spconv

Spatial Sparse Convolution in PyTorch

ttaug-midl2018

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks, MIDL 2018

uda-reid-contest

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild