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A paper list of object detection using deep learning.
Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018
NR and FR IQA models based on Deep Convolutional Neural Networks
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
Pupil segmentation and gaze estimation using fully convolutional neural networks
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.
Denoising Diffusion Probabilistic Models
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.
Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
A tensorflow implementation of EAST text detector
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
EEN: Error Encoding Network
A PyTorch implementation of EfficientNet
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
A Matlab wrapper for EpicFlow
A webcam based pupil tracking implementation.
Using modified BiSeNet for face parsing in PyTorch
Face recognition using Tensorflow
PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
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.