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yolov3 with mobilenet v2 and ASFF
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Object detection, 3D detection, and pose estimation using center point detection:
Centralized Feature Pyramid for Object Detection
README and scripts for the Cityscapes Dataset
CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
COCO API - Dataset @ http://cocodataset.org/
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
CVPR 2023 论文和开源项目合集
Dual Attention Network for Scene Segmentation (CVPR2019)
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
official code for dynamic convolution decomposition
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".
Efficient computing methods developed by Huawei Noah's Ark Lab
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, ContextNet, FPENet, etc.)
EfficientViT is a new family of vision models for efficient high-resolution vision.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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.