412 Open source projects that are alternatives of or similar to Robust-Semantic-Segmentation

Adversarial Distributional Training (NeurIPS 2020)

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

A Closer Look at Accuracy vs. Robustness

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

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

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Feature Scattering Adversarial Training

Binary semantic segmentation with UNet based on MobileNetV2 encoder

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

基于语义分割的矿区无人机影像地物提取实验

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

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Summary of RGBT SOD and SS.

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

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

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

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

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

This is a fully convolutional neural net exercise to detect houses from aerial images.

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

Google DeepLab V3 for Image Semantic Segmentation

Code for NeurIPS 2019 Paper

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

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

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Machine Learning Project to identify an ID Card on an image

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Deep and Machine Learning for Microscopy

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Squeeze-unet Semantic Segmentation for embedded devices

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

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

Reimplementing cool papers in PyTorch...

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Semantically segment the road in the given image.

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

segmentation paper reading notes

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Code used during my Chaos Engineering and Resiliency Patterns talk.

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

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

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