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

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

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

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

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

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

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

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

Code for https://arxiv.org/abs/1611.10080

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

Pytorch code for semantic segmentation using ERFNet

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

SOTA Semantic Segmentation Models in PyTorch

Implementation details for EDANet

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

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)

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

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

AttaNet for real-time semantic segmentation.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

Understanding Convolution for Semantic Segmentation

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.)

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

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

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

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

Official PyTorch implementation of SegFormer

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

PSPNet in Chainer

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

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

PyTorch for Semantic Segmentation

Another pytorch implementation of FCN (Fully Convolutional Networks)

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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

Deep Learning sample programs using PyTorch in C++

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

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

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

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

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

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

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

SegSort: Segmentation by Discriminative Sorting of Segments

Tensorflow implementation : U-net and FCN with global convolution

Generic U-Net Tensorflow 2 implementation for semantic segmentation

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

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

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

Be Driven 🚘