ZhuLifa

3D-PointCloud. Papers and Datasets about Point Cloud.

PointPillars. A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

PCReg.PyTorch. A Simple Point Cloud Registration Network based on PointNet.

Inceptionv4_and_Inception-ResNetv2.PyTorch. A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.

Pointnet2.PyTorch. A PyTorch Implementation of Pointnet++.

GCNet. Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.

ROPNet. Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.

GCN.PyTorch. Graph Convolutional Networks for Text Classification.

UNet-Tensorflow. A brief tensorflow implementation about UNet.

PREDATOR. An inofficial PyTorch implementation of PREDATOR based on KPConv.

Coding.Python. 基于Python的Leetcode、Codeforces部分题解和数据结构、算法专题.

PV-Ada. The second place solution to ModelNet-C classification in PointCloud-C Challenge 2022 (ECCV'22 Workshop).https://arxiv.org/abs/2210.15514

DenseASPP-Tensorflow. A Tensorflow implementation of denseASPP trained on Cityscape dataset.

Deeplabv3plus-Tensorflow. A Tensorflow implementation of Deeplabv3+ trained on VOC2012.

PSPNet-Tensorflow. A Tensorflow implementation of PSPNet.

Resnet-Pytorch. A Pytorch implementation of ResNet trained on cifar-10 with accuracy of 92.07%

Shenlan-Fusion. 深蓝学院 - 多传感器融合作业(2022)

SegNet-Tensorflow. A brief SegNet tensorflow implementation trained on CamVid dataset.

Yolov3-Tensorflow. A Tensorflow implementation of YOLOv3.

AttnAD. Attention suits in autonomous driving.

about_yolov2v3_use. How to prepare our own datasets for yolo(v2, v3) model and how to train the model.

Web-Special-Effects. The summary of special-effects-web pages.