( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
The official homepage of the (outdated) COCO-Stuff 10K dataset.
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
Fast Scnn Pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597
Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Semantic Segmentation Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Eye In The Sky
Satellite Image Classification using semantic segmentation methods in deep learning
PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
Sandbox for training deep learning networks
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
Hrnet Semantic 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
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.
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Fully Convolutional HarDNet for Segmentation in Pytorch
A large-scale dataset for face parsing (AAAI2020)
Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18
SegAN: Semantic Segmentation with Adversarial Learning
image (semantic segmentation) instance segmentation by darknet or yolo
Another pytorch implementation of FCN (Fully Convolutional Networks)
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Multi Task Refinenet
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Pytorch semantic segmentation
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
Kiu Net Pytorch
Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
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.