369 Open source projects that are alternatives of or similar to Randla Net

Gluon CV Toolkit

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

Code for https://arxiv.org/abs/1611.10080

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

CRF-RNN Keras/Tensorflow version

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

This repository contains the source code of our work on designing efficient CNNs for computer vision

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

PyTorch implementation of "Pyramid Scene Parsing Network".

An out-of-box human parsing representation extractor.

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

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

BCDU-Net : Medical Image Segmentation

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

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

DL & CV & Neural Network

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

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

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

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

常用的语义分割架构结构综述以及代码复现

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

Segmentation models with pretrained backbones. PyTorch.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Reimplementing cool papers in PyTorch...

An extension of Open3D to address 3D Machine Learning tasks

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

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

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

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

[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.

A curated list of resources focused on Machine Learning in Geospatial Data Science.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

DeepLab resnet v2 model in pytorch

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.

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

A light-weight, power efficient, and general purpose convolutional neural network

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

DeepLabv3 built in TensorFlow

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Real-Time Semantic Segmentation in Mobile device

Light-Weight RefineNet for Real-Time Semantic Segmentation

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

A semantic segmentation toolbox based on PyTorch

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.