Icnet TensorflowTensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
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DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
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Fasterseg[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
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AttaNetAttaNet for real-time semantic segmentation.
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FchardnetFully Convolutional HarDNet for Segmentation in Pytorch
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EnetENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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EDANetImplementation details for EDANet
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panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
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Efficient Segmentation NetworksLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
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Tusimple DucUnderstanding Convolution for Semantic Segmentation
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Bisenetv2 TensorflowUnofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
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ContrastivesegExploring Cross-Image Pixel Contrast for Semantic Segmentation
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DecouplesegnetsImplementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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hypersegHyperSeg - Official PyTorch Implementation
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CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
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Erfnet pytorchPytorch code for semantic segmentation using ERFNet
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Lightweight SegmentationLightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
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Pspnet TensorflowTensorFlow-based implementation of "Pyramid Scene Parsing Network".
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Kimera SemanticsReal-Time 3D Semantic Reconstruction from 2D data
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plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
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LednetLEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
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LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
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Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
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Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
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AdemxappCode for https://arxiv.org/abs/1611.10080
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Multi Task RefinenetMulti-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
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Hrnet Semantic SegmentationThe 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
Stars: ✭ 2,369 (+1780.16%)
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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LightnetplusplusLightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
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ESANetESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
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SegFormerOfficial PyTorch implementation of SegFormer
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Dilation-Pytorch-Semantic-SegmentationA PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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Real Time Networkreal-time network architecture for mobile devices and semantic segmentation
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EspnetESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
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Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
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EsnetESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
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AutoannotationtoolA label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
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AmlaAutoML frAmework for Neural Networks
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Iot Technical Guide🐝 IoT Technical Guide --- 从零搭建高性能物联网平台及物联网解决方案和Thingsboard源码分析 ✨ ✨ ✨ (IoT Platform, SaaS, MQTT, CoAP, HTTP, Modbus, OPC, WebSocket, 物模型,Protobuf, PostgreSQL, MongoDB, Spring Security, OAuth2, RuleEngine, Kafka, Docker)
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PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
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Refinenet Image Segmentationa tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
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Yolo3d Yolov4 PytorchYOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
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Vrt🔅 Ray tracing library for Vulkan API (indev)
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DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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Deep architectA general, modular, and programmable architecture search framework
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Ov2slamOV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
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