peoplelu's repositories
2DPASS
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
3D-CODED
Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
3detr
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
AdvCAM
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
BundleTrack
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
CrossPoint
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
DDRNet.pytorch
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
DKNet
Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".
fcaf3d
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
Gen6D
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
MaskDINO
Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
One-Thing-One-Click
CVPR 2021 https://arxiv.org/abs/2104.02246
onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
Point-BERT
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
PyTorch-Simple-MaskRCNN
A PyTorch implementation of simple Mask R-CNN
scribblekitti
Scribble-Supervised LiDAR Semantic Segmentation
SensatUrban
š„Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
SensatUrban-BEV-Seg3D
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
SensatUrban_sol_tf
The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.
SoftGroup
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
Stratified-Transformer
Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities