582 Open source projects that are alternatives of or similar to pointnet2_semantic

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Semantic3D segmentation with Open3D and PointNet++

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Deep Learning for Computer Vision (CommE 5052) in NTU

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Reimplementing cool papers in PyTorch...

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Learning low-shot object classification with explicit shape bias learned from point clouds

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Single shape Deep Point Cloud Consolidation [TOG 2021]

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Extension of RealSense Unity Wrapper [Unofficial]

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Building footprint segmentation from satellite and aerial imagery

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

segmentation paper reading notes

Augmentation package for 3d data based on albumentaitons

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Binary semantic segmentation with UNet based on MobileNetV2 encoder

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

This is a fully convolutional neural net exercise to detect houses from aerial images.

Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

Pytorch framework for doing deep learning on point clouds.

Point Cloud Compression used in i3s Scene Layer Format

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

Las Vegas Reconstruction 2.0

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

DL & CV & Neural Network

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

PyTorch implementation of "Pyramid Scene Parsing Network".

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Semantically segment the road in the given image.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Algorithm that converts point cloud data into an occupancy grid

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling