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

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

PyTorch for Semantic Segmentation

🤘 awesome-semantic-segmentation

DeepLab-ResNet rebuilt in TensorFlow

Another pytorch implementation of FCN (Fully Convolutional Networks)

segmentation repo using pytorch

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

The deep semantic segmentation network for lane segmentation.

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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

Segmentation of ID Cards using Semantic Segmentation

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

Pytorch implementation of GCN architecture for semantic segmentation

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

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

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Generic U-Net Tensorflow 2 implementation for semantic segmentation

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

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

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Deep Label Distribution Learning with Label Ambiguity

PyTorch implementation of PSPNet

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

Be Driven 🚘

SegAN: Semantic Segmentation with Adversarial Learning

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Switchable Normalization for semantic image segmentation and scene parsing.

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

unet for rgb images semantic segmentation

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

train test labels for sunrgbd

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

TFslim based semantic segmentation models, modular&extensible boutique design

SegNet implementation & experiments in Chainer

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

parsing scene images with understanding geometric perspective in the loop

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

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

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

Model for document segmentation trained on the midv-500-models dataset.

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

tensorflow version of unet

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+

Deep learning applied to georeferenced datasets

Semantic Scene Completion

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

📚 A collection of papers about Referring Image Segmentation.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

image (semantic segmentation) instance segmentation by darknet or yolo

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