474 Open source projects that are alternatives of or similar to kitti_deeplab

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

BCDU-Net : Medical Image Segmentation

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

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pytorch code for semantic segmentation using ERFNet

Google DeepLab V3 for Image Semantic Segmentation

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

U-NET Semantic Segmentation model for Mobile

SOTA Semantic Segmentation Models in PyTorch

Semantic-TSDF for Self-driving Static Scene Reconstruction

Allows to manage citation resources using semantic annotations

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

A simple ontology and RDF visualization tool.

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

TensorFlow implementation of LinkNet

AttaNet for real-time semantic segmentation.

Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

基于语义分割的矿区无人机影像地物提取实验

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

React-Redux application using NodeJS relational database API with Sequelize ORM. Two level CRUD with a main data table (bands) and other that is relationed with it (albums).

Keras BiseNet architecture implementation

This is the example implementation of UNet model for semantic segmentations

My Implementation of the deeplab_v1 (known as deeplab large fov)

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Easily train or fine-tune SOTA computer vision models with one open source training library

TensorFlow implementation for "Guided Optical Flow Learning"

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

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

Code for our paper "Semantic Representation for Dialogue Modeling" in ACL2021

SRL deep learning model is based on DB-LSTM which is described in this paper : [End-to-end learning of semantic role labeling using recurrent neural networks](http://www.aclweb.org/anthology/P15-1109)

The package is common Slam combined with DeepLab-V2-CRF Library.

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

HyperSeg - Official PyTorch Implementation

Cell Detection with PyTorch.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

No description or website provided.

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Next.js + SUIR tiny starter

A flexible Python front-end inference SDK based on TensorRT

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Implementation details for EDANet

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Kidney Tumor Segmentation Challenge 2019

Cut and paste augmentation for object detection and instance segmentation