499 Open source projects that are alternatives of or similar to Adversarial Semisupervised Semantic Segmentation

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

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

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

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

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

Tensorflow implementation of Adversarial Autoencoders

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

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

PyTorch for Semantic Segmentation

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

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

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

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

Code for Adversarial Training Methods for Semi-Supervised Text Classification

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

Code for reproducing ICT ( published in IJCAI 2019)

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

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

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

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

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Unsupervised Data Augmentation (UDA)

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

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Deep Learning sample programs using PyTorch in C++

image (semantic segmentation) instance segmentation by darknet or yolo

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

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

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

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

speech to text with self-supervised learning based on wav2vec 2.0 framework

SegSort: Segmentation by Discriminative Sorting of Segments

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

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

Tensorflow implementation : U-net and FCN with global convolution

train test labels for sunrgbd

C++ based toolbox for the SUNCG dataset

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

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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+

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

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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

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

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

RefineNet-101 VOC in PyTorch

Pytorch implementation of Virtual Adversarial Training

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation