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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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flexinferA flexible Python front-end inference SDK based on TensorRT
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AttaNetAttaNet for real-time semantic segmentation.
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hypersegHyperSeg - Official PyTorch Implementation
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Swin-Transformer-Semantic-SegmentationThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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PixiePixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling
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ESANetESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
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HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
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label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
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semantic-tsdfSemantic-TSDF for Self-driving Static Scene Reconstruction
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satellite-Image-Semantic-Segmentation-Unet-Tensorflow-kerasCollection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
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SAFNet[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"
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MINetMulti-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)
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UNETRUnofficial code base for UNETR: Transformers for 3D Medical Image Segmentation
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SemiSeg-AELSemi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
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AdaptationSegCurriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
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FocusLiteNNOfficial PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
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pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
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atomaiDeep and Machine Learning for Microscopy
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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FoggySynscapesSemantic Understanding of Foggy Scenes with Purely Synthetic Data
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
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bluelighta browser-based DICOM viewer
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SSL CR HistoOfficial code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
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LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
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Lyft-Perception-ChallengeThe 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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