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Name: GH-MobileGIS
Type: User
Company: 移动地理空间大数据云服务创新团队
Bio: www.dxkjs.com
Location: Beijing
Blog: www.dxkjs.com
Name: GH-MobileGIS
Type: User
Company: 移动地理空间大数据云服务创新团队
Bio: www.dxkjs.com
Location: Beijing
Blog: www.dxkjs.com
[ICML 2021] Official code for SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Official implementation of the paper "Segment Everything Everywhere All at Once"
Squeeze-and-Excitation Networks
This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.
Learning Saliency Propagation for Semi-supervised Instance Segmentation
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
This repository contains the official implementation of the paper "STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos"
A Tensorflow implementation of Spatial Transformer Networks
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Thermal Bridges on Building Rooftops Detection (TBBRDet)
Computation using data flow graphs for scalable machine learning
Sliding-window object detectors that generate boundingbox object predictions over a dense, regular grid have advanced rapidly and proven popular. In contrast, modern instance segmentation approaches are dominated by methods that first detect object bounding boxes, and then crop and segment these regions, as popularized by Mask R-CNN. In this work, we investigate the paradigm of dense slidingwindow instance segmentation, which is surprisingly underexplored. Our core observation is that this task is fundamentally different than other dense prediction tasks such as semantic segmentation or bounding-box object detection, as the output at every spatial location is itself a geometric structure with its own spatial dimensions. To formalize this, we treat dense instance segmentation as a prediction task over 4D tensors and present a general framework called TensorMask that explicitly captures this geometry and enables novel operators on 4D tensors. We demonstrate that the tensor view leads to large gains over baselines that ignore this structure, and leads to results comparable to Mask R-CNN. These promising results suggest that TensorMask can serve as a foundation for novel advances in dense mask prediction and a more complete understanding of the task. Code will be made available.
Reference models and tools for Cloud TPUs.
Computer generated building footprints for the United States
Validation of 3D primitives according to the international standard ISO19107
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Vision Transformer Cookbook with Tensorflow
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
白卷是一款使用 Vue+Spring Boot 开发的前后端分离项目,附带全套开发教程。(A simple CMS developed by Spring Boot and Vue.js with development tutorials)
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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.