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CVPR 2024: Residual Denoising Diffusion Models
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
RepVGG: Making VGG-style ConvNets Great Again
ResNeSt: Split-Attention Network
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
evaluation toolbox for salient object detection
Fast Visual saliency detection based on fequency domain analysis and Contrast enhancement
This Toolbox contains E-measure, S-measure, F-measure, MAE and PR curves or bar metrics for salient object detection.
Code for the paper - T. Alshawi, Z. Long, and G. AlRegib, “Understanding spatial correlation in eye-fixation maps for visual attention in videos,” Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Seattle, WA, Nov. 2016.
Repository for the SCALE-MAMBA MPC system
Code of Stacked Cross Refinement Network for Edge-Aware Salient Object Detection (ICCV 2019)
Segmentation models with pretrained backbones. PyTorch.
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Official Implementation of Semantic Image Synthesis via Diffusion Models
Camouflaged Object Detection, CVPR 2020 (Oral)
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch
A deep learning framework for multi-animal pose tracking.
Codes for the paper "A Correlation Attack on Full SNOW-V and SNOW-Vi"
A Method for Unconstrained Salient Object Detection
The summary of code and paper for salient object detection with deep learning
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Course on Udemy by Jose Portilla
spectrai: a deep learning framework for spectral data
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
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.