381 Open source projects that are alternatives of or similar to SAFNet

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Implementation details for EDANet

Semantic Segmentation using Fully Convolutional Neural Network.

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Parallel Barnes-Hut t-SNE implementation written in Rust.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

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

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

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

Paper notes in deep learning/machine learning and computer vision

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

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

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

R package for large-scale similarity/distance computation

4th place solution in Baidu Autonomous Driving Lane Segmentation

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Cell Detection with PyTorch.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

A list of popular deep learning models related to classification, segmentation and detection problems

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Semantic Segmentation Models in Pytorch

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

The implementation of 3D-UNet using PyTorch

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

A paper list of RGBD semantic segmentation (processing)

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

2D and 3D UNet implementation in PyTorch.

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

A framework for developing neural network models for 3D image processing.

Caffe: a fast open framework for deep learning.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

[ICLR2022] official implementation of UniFormer

Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.

Kidney Tumor Segmentation Challenge 2019

Implemetation of Pyramid Scene Parsing Network in Pytorch

TensorFlow implementation of LinkNet

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)