Topic: segmentation Goto Github
Some thing interesting about segmentation
Some thing interesting about segmentation
segmentation,Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
User: abhineet123
segmentation,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Organization: albumentations-team
Home Page: https://albumentations.ai
segmentation,CVNets: A library for training computer vision networks
Organization: apple
Home Page: https://apple.github.io/ml-cvnets
segmentation,Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
User: bigmb
segmentation,A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
User: black0017
segmentation,PyTorch extensions for fast R&D prototyping and Kaggle farming
User: bloodaxe
segmentation,PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
User: charlesq34
segmentation,PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
User: charlesq34
segmentation,Mask RCNN in TensorFlow
User: charlesshang
segmentation,A procedural Blender pipeline for photorealistic training image generation
Organization: dlr-rm
segmentation,Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
User: dusty-nv
Home Page: https://developer.nvidia.com/embedded/twodaystoademo
segmentation,Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Organization: dvlab-research
segmentation,Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
User: georgeseif
segmentation,Tracking and collecting papers/projects/others related to Segment Anything.
User: hedlen
segmentation,[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
User: hkchengrex
Home Page: https://hkchengrex.com/XMem/
segmentation,The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Organization: hrnet
segmentation,detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
Organization: idea-research
Home Page: https://detrex.readthedocs.io/en/latest/
segmentation,SOTA medical image segmentation methods based on various challenges
User: junma11
segmentation,Tutorials, assignments, and competitions for MIT Deep Learning related courses.
User: lexfridman
Home Page: https://deeplearning.mit.edu
segmentation, Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Organization: mapbox
segmentation,BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
User: mikel-brostrom
segmentation,EfficientViT is a new family of vision models for efficient high-resolution vision.
Organization: mit-han-lab
segmentation,[IEEE TMI] Official Implementation for UNet++
User: mrgiovanni
segmentation,OpenMMLab Model Compression Toolbox and Benchmark.
Organization: open-mmlab
Home Page: https://mmrazor.readthedocs.io/en/latest/
segmentation,A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Organization: opengeos
Home Page: https://samgeo.gishub.org
segmentation,Sandbox for training deep learning networks
User: osmr
segmentation,深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Organization: paddlepaddle
segmentation,PaddleSlim is an open-source library for deep model compression and architecture search.
Organization: paddlepaddle
Home Page: https://paddleslim.readthedocs.io/zh_CN/latest/
segmentation,Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
Organization: paddlepaddle
segmentation,Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Organization: qubvel-org
Home Page: https://smp.readthedocs.io/
segmentation,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
User: qubvel
segmentation,Convolutional Neural Network for 3D meshes in PyTorch
User: ranahanocka
segmentation,A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
User: roytseng-tw
segmentation,Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
User: rsennrich
segmentation,Paper and implementation of UNet-related model.
User: shawnbit
segmentation,Multi-platform, free open source software for visualization and image computing.
Organization: slicer
Home Page: https://www.slicer.org
segmentation,CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
User: speedinghzl
segmentation,Segment Anything in High Quality [NeurIPS 2023]
Organization: syscv
Home Page: https://arxiv.org/abs/2306.01567
segmentation,Pytorch framework for doing deep learning on point clouds.
Organization: torch-points3d
Home Page: https://torch-points3d.readthedocs.io/en/latest/
segmentation,Vocal Remover using Deep Neural Networks
User: tsurumeso
segmentation,Pytorch implementation of convolutional neural network visualization techniques
User: utkuozbulak
segmentation,Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
User: vainf
segmentation,Official implementation of PVT series
User: whai362
segmentation,deep learning for image processing including classification and object-detection etc.
User: wzmiaomiao
segmentation,Awesome GAN for Medical Imaging
User: xinario
segmentation,PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
User: yanx27
segmentation,《深度学习与计算机视觉》配套代码
User: yeyun111
Home Page: https://frombeijingwithlove.github.io/dlcv_for_beginners/
segmentation,Papers and Datasets about Point Cloud.
User: zhulf0804
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