480 Open source projects that are alternatives of or similar to SemiSeg-AEL

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

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

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

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

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

Keras BiseNet architecture implementation

Joint Semi-supervised Learning of Image Registration and Segmentation

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

U-NET Semantic Segmentation model for Mobile

Deep and Machine Learning for Microscopy

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

HyperSeg - Official PyTorch Implementation

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

Semi-supervised Learning GAN

基于语义分割的矿区无人机影像地物提取实验

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Cut and paste augmentation for object detection and instance segmentation

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Official PyTorch implementation of SegFormer

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

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

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

JCLAL is a general purpose framework developed in Java for Active Learning.

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

AttaNet for real-time semantic segmentation.

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Semi-Supervised Learning and Collective Classification

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Easily train or fine-tune SOTA computer vision models with one open source training library

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

Summary of RGBT SOD and SS.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Squeeze-unet Semantic Segmentation for embedded devices

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

SOTA Semantic Segmentation Models in PyTorch

This is the example implementation of UNet model for semantic segmentations

Semantic-TSDF for Self-driving Static Scene Reconstruction

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021

Google DeepLab V3 for Image Semantic Segmentation

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Semisupervided LDA for theory-driven text analysis

Benchmarks for semi-supervised domain generalization.

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning