edgscout Goto Github PK
Name: ucas_scst_cvmt_seg
Type: User
Company: University of Chinese Academy of Sciences
Location: 怀柔,北京,**
Name: ucas_scst_cvmt_seg
Type: User
Company: University of Chinese Academy of Sciences
Location: 怀柔,北京,**
问卷
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
国科大 算法分析与设计 卜东波 作业答案整理(2016)
zi_wang developed for libarary
The official GitHub repository for the Argoverse 2 dataset.
A collection of awesome resources in Human Pose estimation.
Awesome Incremental Learning
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy
PyTorch implementation of binary neural networks
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
A technical report on convolution arithmetic in the context of deep learning
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
DeepFlux for Skeletons in the wild (CVPR 2019)
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
Adapted representation of synthetic data to real world data.
Implementation of my Master Thesis "Learning to adapt class-specific features across domains for semantic segmentation".
A tensorflow implementation of EAST text detector
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.