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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[email protected] 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.

octave-convolution

https://arxiv.org/abs/1904.05049

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