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Lightweight 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.)
SOTA Semantic Segmentation Models in PyTorch
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely
Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes
SPFNet
Real-time Domain Adapation in Semantic Segmentation project
SOTA semantic segmentation on public benchmarks
A brief SegNet tensorflow implementation trained on CamVid dataset.