Popular GitHub Repositories for Filter

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

???色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.

State Space Models library in JAX

Building Convolutional Neural Networks From Scratch using NumPy

iOS Core ML implementation of waifu2x

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

Computer Vision Practice

If you can measure it, consider it predicted

Porn images detector with python, tensorflow, scikit-learn and opencv.

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Remote heart rate detection through Eulerian magnification of face videos

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ?

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Retrieve, aggregate, filter, evaluate, rewrite and serve RSS feeds using Large Language Models for fun, research and learning purposes