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Name: RxxS
Type: User
Location: Shenzhen,China
Name: RxxS
Type: User
Location: Shenzhen,China
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Modification of my Faster RCNN with FPN architecture with SwinTransformer as backbone in place of ResNet50.
Experiments on Swin-Transformer as alternative backbone for 3D-RetinaNet
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Augmentations usage examples for albumentations library
Self-attention、Non-local、SE、SK、CBAM、DANet
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
source code of AugFPN
small data augmentation for faster-rcnn
This Repo will help to augment images with annotation files for object Detection
Google Brain AutoML
A collection of resources and papers on Diffusion Models
🔥🔥🔥 A collection of some awesome public YOLO object detection series projects.
Implementation of Bottleneck Transformer in Pytorch
PyTorch Implementation of BoTNet. Link to paper: https://arxiv.org/abs/2101.11605
Bottleneck Transformers for Visual Recognition
ResNet152, Keras, StanfordCar-196, Accuracy:94.7%
This repo supports Faster R-CNN, FPN and Cascade Faster R-CNN based on pyTorch 1.0. Additionally deformable convolutional layer is also support!
for the fabric defect detection
CBAM implementation on Keras
CBAM implementation on TensowFlow
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Apply CBAM with Resnet50
Convolutional Block Attention Module with ResNet block with interleaved Atrous Pyramidal Pooling for multiple dimension feature
这是一个centernet-keras的源码,可以用于训练自己的模型。
Two-stage CenterNet
Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.