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
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
Add bisenetv2. My implementation of BiSeNet
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, Context...
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchm...
#计算机科学#SOTA Semantic Segmentation Models in PyTorch
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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）
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
[CVPR 2021] Self-supervised depth estimation from short sequences
#计算机科学#Understanding Convolution for Semantic Segmentation
This 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)
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
翻译 - 有关语义分割，实例分割，全景分割和视频分割的论文和基准
#计算机科学#Official PyTorch implementation of Fully Attentional Networks
#计算机科学#[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Pytorch code for semantic segmentation using ERFNet
This repository contains the source code of our work on designing efficient CNNs for computer vision