449 Open source projects that are alternatives of or similar to Real Time Network

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

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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

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

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

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

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

Reproducible Rapid Research for Neural Architecture Search (NAS)

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

Deep Learning for Computer Vision (CommE 5052) in NTU

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

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Volumetric Fusion of Multiple Semantic Labels and Masks

AutoGluon: AutoML for Text, Image, and Tabular Data

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

FC-DenseNet in PyTorch for Semantic Segmentation

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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

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

DeepLab-ResNet rebuilt in Pytorch

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

Reimplementation of DeepLabV3

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

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

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

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

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

Segmentation models with pretrained backbones. PyTorch.

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

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

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

Semantic Segmentation Architectures Implemented in PyTorch

PyTorch implementation of "Pyramid Scene Parsing Network".

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

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

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

Building footprint segmentation from satellite and aerial imagery

Neural Architecture Search Powered by Swarm Intelligence 🐜

Encodings for neural architecture search

A list of popular deep learning models related to classification, segmentation and detection problems

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

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

DL & CV & Neural Network

An extension of Open3D to address 3D Machine Learning tasks

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

Lip and hair color editor using face parsing maps.

🚘 Easiest Fully Convolutional Networks

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

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

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

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.

PyTorch implementation of PNASNet-5 on ImageNet

Pytorch code for semantic segmentation using ERFNet