deeplab-v3-plus topic
mobilenetv2_deeplabv3_pytorch
Try to implement deeplab v3+ on pytorch according to offical demo.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
SegmenTron
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, Enc...
fbrs_interactive_segmentation
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
mobile-segmentation
Real-time semantic image segmentation on mobile devices
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
LightNetPlusPlus
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
DeepLabV3_Plus-Tensorflow2.0
DeepLabV3+ implemented in TensorFlow2.0
deepglobe_land_cover_classification_with_deeplabv3plus
DeepGlobe Land Cover Classification Challenge遥感影像语义分割
pytorch-segmentation
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)