Stars
Align 3D Point Cloud with Multi-modalities for Large Language Models
DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
COVID-19 Pneumonia Lesion segmentation network
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
This repository contains the reference implementation for our proposed Convolutional CRFs.
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函…
🏦 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
A CV Toolkit
Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
Image augmentation library in Python for machine learning.
This is a list of awesome methods about data augmentation.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
Usage of Multi-task deep learning network for semantic segmentation in medical images
FDSJK / attention-cnn
Forked from epfml/attention-cnnSource code for "On the Relationship between Self-Attention and Convolutional Layers"