398 Open source projects that are alternatives of or similar to Deeplab V2 Resnet 101 Tensorflow

DeepLab resnet v2 model in pytorch

DeepLabv3 built in TensorFlow

DeepLab-ResNet rebuilt in TensorFlow

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

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

DeepLab-LargeFOV implemented in tensorflow

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

DeepLab-ResNet rebuilt in Pytorch

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

PSPNet in Chainer

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

SegAN: Semantic Segmentation with Adversarial Learning

Free to use online tool for labelling photos. https://makesense.ai

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

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

embedding and grouping pixels into boundary, proposal, segment and object instance.

train test labels for sunrgbd

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

RefineNet-101 VOC in PyTorch

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

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

Fully Convolutional HarDNet for Segmentation in Pytorch

How to create custom COCO data set for object detection

PyTorch for Semantic Segmentation

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

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

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

An awesome semantic segmentation model that runs in real time

SegSort: Segmentation by Discriminative Sorting of Segments

image (semantic segmentation) instance segmentation by darknet or yolo

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

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

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Deep Learning sample programs using PyTorch in C++

PyTorch Implementation of Stacked U-Nets (SUNets)

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

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

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

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

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

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

A large-scale dataset for face parsing (AAAI2020)

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

C++ based toolbox for the SUNCG dataset