587 Open source projects that are alternatives of or similar to DST-CBC

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

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

PSPNet in Chainer

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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.)

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

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

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

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

Understanding Convolution for Semantic Segmentation

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)

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

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

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

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

Pytorch code for semantic segmentation using ERFNet

AttaNet for real-time semantic segmentation.

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

DeepLabv3 built in TensorFlow

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

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

DeepLab resnet v2 model in pytorch

DeepLab-ResNet rebuilt in Pytorch

DeepLab-ResNet rebuilt in TensorFlow

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

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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

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

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

Sandbox for training deep learning networks

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

DeepLab-LargeFOV implemented in tensorflow

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

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

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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

Implementation details for EDANet

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

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)