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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Icnet TensorflowTensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Stars: ✭ 396 (-12%)
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 (-21.11%)
Deeplabv3plus PytorchDeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
Stars: ✭ 337 (-25.11%)
AdemxappCode for https://arxiv.org/abs/1611.10080
Stars: ✭ 333 (-26%)
EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
Stars: ✭ 331 (-26.44%)
Adaptis[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Stars: ✭ 314 (-30.22%)
Pspnet TensorflowTensorFlow-based implementation of "Pyramid Scene Parsing Network".
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Erfnet pytorchPytorch code for semantic segmentation using ERFNet
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (-78.22%)
panoptic partsThis repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.
Stars: ✭ 82 (-81.78%)
Pytorch-ENet-NicePytorch to train ENet of Cityscapes datasets and CamVid datasets nicely
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+57.78%)
pix2pixPyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
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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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plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
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DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
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AttaNetAttaNet for real-time semantic segmentation.
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SegFormerOfficial PyTorch implementation of SegFormer
Stars: ✭ 1,264 (+180.89%)
EDANetImplementation details for EDANet
Stars: ✭ 34 (-92.44%)
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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Pix2PixImage to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
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MetalCityMetalCity - a procedural night city landscape generator
Stars: ✭ 29 (-93.56%)
DecouplesegnetsImplementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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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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Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Stars: ✭ 202 (-55.11%)
CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Stars: ✭ 186 (-58.67%)
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 (+426.44%)
FchardnetFully Convolutional HarDNet for Segmentation in Pytorch
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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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Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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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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Ccnet Pure PytorchCriss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Stars: ✭ 124 (-72.44%)
Deeplab V3 Plus CityscapesmIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
Stars: ✭ 121 (-73.11%)
DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Stars: ✭ 109 (-75.78%)
Switchnorm segmentationSwitchable Normalization for semantic image segmentation and scene parsing.
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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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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (-92.89%)
LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+55.11%)
BisenetAdd bisenetv2. My implementation of BiSeNet
Stars: ✭ 589 (+30.89%)
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.)
Stars: ✭ 579 (+28.67%)
Tusimple DucUnderstanding Convolution for Semantic Segmentation
Stars: ✭ 567 (+26%)
SegmentronSupport PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Stars: ✭ 490 (+8.89%)