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This is an unofficial implementation of the Paper "Depth-Adaptive Computational Policies for Efficient Visual Tracking" By Chris Ying, Katerina Fragkiadaki
代码 -《深度学习之PyTorch物体检测实战》
Real-time Drone Visual Detection and Tracking algorithm based on YOLOv3 and GOTURN.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Source code of DRNet for the VOT2019 challenge (TOP 1 on the public benchmark dataset )
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
An implementation of the efficient attention module.
code and results for 'Effective Local and Global Search for Fast Long-term Tracking'
Ensemble Siamese Networks
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.⭐⭐⭐
Simple reimplemetation experiments about FcaNet
FcaNet: Frequency Channel Attention Networks
Fully Convolutional Online Tracking
Feature distilling SiamFC for visual object tracking (a compressed SiamFC with an average performance loss of only 1% while achieving 42.6× parameters compression, 21.4× fewer float point computation, 6.8× fewer RAM overhead, and 2.2× speed up. )
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Full Reference Image Quality Assessment
Generative Adversarial Networks for Visual Object Tracking
This repo contains the hyperspectral kernelized correlation filter tracker MATLAB implementation.
Half Wavelet Attention on M-Net+ for Low-light Image Enhancement
Improved Real-time Visual Tracking via Adversarial Learning
Codes for paper: "IoU-Uniform R-CNN: Breaking Through the Limitations of RPN"
real-time fire detection on Jetson Nano 2GB using NanoDet
Realtime calculater 3d depth distance on Jetson with onnx
Comprehensive multifunctional AI project
A pytorch implement of the paper "Locally Adaptive Channel Attention-Based Network for Denoising Images"
Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"
Transformer based on a variant of attention that is linear complexity in respect to sequence length
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.