580 Open source projects that are alternatives of or similar to Fpconv

A pointnet++ fork, with focus on semantic segmentation of differents datasets

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

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

End-to-end image segmentation kit based on PaddlePaddle.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

This is the official implementation of RSNet.

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

A list of resources about deep learning solutions on 3D shape processing

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

PSPNet in Chainer

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Tools to Design or Visualize Architecture of Neural Network

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

User-friendly, commercial-grade software for processing aerial imagery. 🛩

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

The deep semantic segmentation network for lane segmentation.

3D Heritage Online Presenter

Tensorflow implementation : U-net and FCN with global convolution

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Polylidar3D - Fast polygon extraction from 3D Data

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

FrostNet: Towards Quantization-Aware Network Architecture Search

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

An open source framework for deep learning on satellite and aerial imagery.

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

DeepLab-ResNet rebuilt in TensorFlow

CRF-RNN PyTorch version http://crfasrnn.torr.vision

segmentation repo using pytorch

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Deep Hough Voting for 3D Object Detection in Point Clouds

Keras implementation for Pointnet

Sample implementation of an application using KinectFusionLib

CNNs for semantic segmentation using Keras library

Fast and robust algorithm to extract edges in unorganized point clouds

Deep learning applied to georeferenced datasets

Frustum PointNets for 3D Object Detection from RGB-D Data

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

📚 A collection of papers about Referring Image Segmentation.