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Involution[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
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MmdetectionOpenMMLab Detection Toolbox and Benchmark
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pytorch-UNet2D and 3D UNet implementation in PyTorch.
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AsisAssociatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
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Pytorch UnetPyTorch implementation of the U-Net for image semantic segmentation with high quality images
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Mask rcnnMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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FaPN[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
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Sota Point Cloud🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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PixellibVisit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
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Human Segmentation PytorchHuman segmentation models, training/inference code, and trained weights, implemented in PyTorch
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Bcdu NetBCDU-Net : Medical Image Segmentation
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Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
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Tf Unettensorflow version of unet
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Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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PaddledetectionObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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PaddlesegEnd-to-end image segmentation kit based on PaddlePaddle.
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Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
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LabelmeImage Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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Panoptic DeeplabThis is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
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PazHierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
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prostate segmentationNCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
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Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
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VedasegA semantic segmentation toolbox based on PyTorch
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Pytorch 3dunet3D U-Net model for volumetric semantic segmentation written in pytorch
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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Geo Deep LearningDeep learning applied to georeferenced datasets
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Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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MFNet-pytorchMFNet-pytorch, image semantic segmentation using RGB-Thermal images
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RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
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smartImgProcess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
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