387 Open source projects that are alternatives of or similar to Ademxapp

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

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

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

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

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

PSPNet in Chainer

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

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

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Pytorch code for semantic segmentation using ERFNet

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.)

Fully Convolutional HarDNet for Segmentation in Pytorch

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

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

SOTA Semantic Segmentation Models in PyTorch

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

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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

AttaNet for real-time semantic segmentation.

Understanding Convolution for Semantic Segmentation

Official PyTorch implementation of SegFormer

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Implementation details for EDANet

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

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

DeepLab-ResNet rebuilt in Pytorch

Lip and hair color editor using face parsing maps.

BCDU-Net : Medical Image Segmentation

An extension of Open3D to address 3D Machine Learning tasks

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

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

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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

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

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

Winning solution for the Kaggle TGS Salt Identification Challenge.

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

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

Volumetric Fusion of Multiple Semantic Labels and Masks

Semantic Segmentation Architectures Implemented in PyTorch

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

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

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

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

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

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

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