The 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
翻译 - 这是TPAMI论文“视觉识别的深度高分辨率表示学习”的语义分段的正式实现。 https://arxiv.org/abs/1908.07919
Official PyTorch implementation of SegFormer
翻译 - 《SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers》的官方实现
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
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）
#计算机科学#📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
翻译 - Mobile MobileNetV3的PyTorch实现，用于实时语义分段，具有最先进的性能