DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
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AttaNetAttaNet for real-time semantic segmentation.
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Multi Task RefinenetMulti-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
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Nas Segm PytorchCode for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
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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.
Stars: ✭ 67 (-83.08%)
Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Stars: ✭ 128 (-67.68%)
Optical Flow FilterA real time optical flow algorithm implemented on GPU
Stars: ✭ 146 (-63.13%)
Probabilistic unetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Stars: ✭ 427 (+7.83%)
Deeplab v3Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Stars: ✭ 768 (+93.94%)
Deep Residual UnetResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
Stars: ✭ 97 (-75.51%)
UnetGeneric U-Net Tensorflow 2 implementation for semantic segmentation
Stars: ✭ 100 (-74.75%)
Kili PlaygroundSimplest and fastest image and text annotation tool.
Stars: ✭ 166 (-58.08%)
Unet TgsApplying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
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hypersegHyperSeg - Official PyTorch Implementation
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VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
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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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panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+79.29%)
Lightweight SegmentationLightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Stars: ✭ 261 (-34.09%)
StealSTEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
Stars: ✭ 424 (+7.07%)
DecouplesegnetsImplementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
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LightnetplusplusLightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
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Pytorch 3dunet3D U-Net model for volumetric semantic segmentation written in pytorch
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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XpediteA non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems
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Spacenet building detectionProject to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
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Pspnet TensorflowTensorFlow-based implementation of "Pyramid Scene Parsing Network".
Stars: ✭ 313 (-20.96%)
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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Adaptis[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
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EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
Stars: ✭ 331 (-16.41%)
plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (-75.25%)
EDANetImplementation details for EDANet
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Erfnet pytorchPytorch code for semantic segmentation using ERFNet
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Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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Human Segmentation PytorchHuman segmentation models, training/inference code, and trained weights, implemented in PyTorch
Stars: ✭ 289 (-27.02%)
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)
Stars: ✭ 355 (-10.35%)
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 (+498.23%)
CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Stars: ✭ 186 (-53.03%)
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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Pytorch tiramisuFC-DenseNet in PyTorch for Semantic Segmentation
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