Pinned Repositories
11
2D-3D-Semantics
The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
3D-to-2D-Distillation-for-Indoor-Scene-Parsing
CVPR 2021, https://arxiv.org/abs/2104.02243
CFPNet1
Centralized Feature Pyramid for Object Detection
deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
FastSAM
Fast Segment Anything
KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
MCANet
The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for image recognition".
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
YOOOOOL's Repositories
YOOOOOL/11
YOOOOOL/2D-3D-Semantics
The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
YOOOOOL/3D-to-2D-Distillation-for-Indoor-Scene-Parsing
CVPR 2021, https://arxiv.org/abs/2104.02243
YOOOOOL/CFPNet1
Centralized Feature Pyramid for Object Detection
YOOOOOL/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
YOOOOOL/FastSAM
Fast Segment Anything
YOOOOOL/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
YOOOOOL/MCANet
The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for image recognition".
YOOOOOL/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
YOOOOOL/PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
YOOOOOL/PCT
Jittor implementation of PCT:Point Cloud Transformer
YOOOOOL/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: MSC (CVPR'23), CeCo (CVPR'23), PTv2 (NeurIPS'22)
YOOOOOL/PointCMT
[NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
YOOOOOL/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
YOOOOOL/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
YOOOOOL/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
YOOOOOL/Pointnet_Pointnet2_pytorch-master
YOOOOOL/PointNet_Self_Attention
This repository is an implementation of a class final project that studied the most influential neural architecture for Point Cloud processing called PointNet with the ambition to improve its accuracy using Self-Attention Layers from the famous Transformer architecture.
YOOOOOL/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
YOOOOOL/RandLA-Net-pytorch
:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
YOOOOOL/RandLA-pytorch
Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility
YOOOOOL/Segment-Any-Point-Cloud
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
YOOOOOL/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
YOOOOOL/SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey