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Starred repositories
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
RepVGG: Making VGG-style ConvNets Great Again
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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
这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
The deep residual shrinkage network is a variant of deep residual networks.
🤘 awesome-semantic-segmentation
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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, Cont…
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, …
Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Trilinear Attention Sampling Network for Fine-grained Image Recognition
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Seperable Convolution and Long Range Dependencies (MICCAI 2019)
Code for paper 'Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment'