425 Open source projects that are alternatives of or similar to Deeplab Pytorch

Deep and Machine Learning for Microscopy

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

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Collection of computer vision models, ready to be included in a JVM project

3D U-Net model for volumetric semantic segmentation written in pytorch

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

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

A simpler way of reading and augmenting image segmentation data into TensorFlow

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

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

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

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

基于语义分割的矿区无人机影像地物提取实验

lightweight and efficient cnn for semantic segmentation, my blog address:

🚘 Easiest Fully Convolutional Networks

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Deep Learning sample programs using PyTorch in C++

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

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

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

Reimplementation of DeepLabV3

Tensorflow implementation : U-net and FCN with global convolution

A flexible Python front-end inference SDK based on TensorRT

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

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

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

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

Keras BiseNet architecture implementation

Deep learning applied to georeferenced datasets

OpenMMLab Pose Estimation Toolbox and Benchmark.

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

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

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

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

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

FrostNet: Towards Quantization-Aware Network Architecture Search

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

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Object Detection

Real-Time Semantic Segmentation in Mobile device

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

An out-of-box human parsing representation extractor.

Binary semantic segmentation with UNet based on MobileNetV2 encoder