Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
翻译 - 具有预训练骨干的细分模型。 PyTorch。
DeepLab v3+ model in PyTorch. Support different backbones.
翻译 - PyTorch中的DeepLab v3 +模型。支持不同的骨干网。
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...
翻译 - 支持Fast_SCNN，HRNet，Deeplabv3_plus（xception，resnet，移动网络），ContextNet，FPENet，DABNet，EdaNet，ENet，Espnetv2，RefineNet，UNet，DANet，HRNet，DFANet，HardNet，LedNet，OCNet，EncNet，EncNet BiSeNet，PSPNet，ICNet，FCN，deeplab）
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
DeepGlobe Land Cover Classification Challenge遥感影像语义分割
DeepLabV3+ implemented in TensorFlow2.0
#安卓#Real-time semantic image segmentation on mobile devices
#计算机科学#Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
#计算机科学#TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Using deepLabv3+ to segment humans
DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0
Try to implement deeplab v3+ on pytorch according to offical demo.
Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation