yeminglang

yeminglang's Stars

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.6k1.3k

• XT-1997/FARP-Net

  The implementation of the paper: FARP-Net: Local-Global Feature Aggregation and Relation-Aware Proposals for 3D Object Detection.

  Language:Python327

• RooKichenn/CEFPN

  CEFPN复现，论文未开源，关于CEFPN的处理是按照论文和自己的理解写的，如有问题欢迎指正

  Language:Python274

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.2k1.5k

• isl-org/Open3D-ML

  An extension of Open3D to address 3D Machine Learning tasks

  Language:Python1.8k315

• EdgeTranslate/EdgeTranslate

  A translation extension.

  Language:JavaScript2.7k340

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• Strawberry-Eat-Mango/PCT_Pytorch

  Pytorch implementation of PCT: Point Cloud Transformer

  Language:Python34284

• lyqun/FPConv

  CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"

  Language:Python13216

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k388

• ShiQiu0419/BAAF-Net

  Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)

  Language:C++10417

• fpthink/PPT-Net

  Pyramid Point Cloud Transformer for Large-Scale Place Recognition

  Language:Python4812

• HuguesTHOMAS/KPConv-PyTorch

  Kernel Point Convolution implemented in PyTorch

  Language:Python759153

• yeminglang/Yolov5_DeepSort_Pytorch

  Real-time multi-object tracker using YOLO v5 and deep sort

  11

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python7.9k2.6k

• whai362/PVT

  Official implementation of PVT series

  Language:Python1.7k245

• PaddlePaddle/PaddleSeg

  Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

  Language:Python8.5k1.7k

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python61.1k10.8k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.3k7.9k