jiajun-xiang Goto Github PK
Name: JiajunXiang
Type: User
Name: JiajunXiang
Type: User
:books: A collection of edge/contour/boundary detection papers and toolbox.
Neural network code for Deep Blending for Free-Viewpoint Image-Based Rendering (SIGGRAPH Asia 2018)
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.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。
A lightweight 3D Morphable Face Model fitting library in modern C++14
Deep 3DMM facial expression parameter extraction
Using modified BiSeNet for face parsing in PyTorch
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
this is a re-implementation of CVPR2018 paper "FaceID-GAN"
Faceswap with Pytorch or DeepFake with Pytorch
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
A faster pytorch implementation of faster r-cnn
PyTorch实现高分遥感语义分割(地物分类)
Code of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)
A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems (ECCV 2020)
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
PyTorch implementations of Generative Adversarial Networks.
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]
Pytorch implementation of RetinaNet object detection.
淘宝秒杀脚本
Pedestrian detection is of great significance due to its wide application in various fields. RGB-T based pedestrian detection has received more extensive attention due to the provided detailed information and thermal sensitivity of pedestrians. However, the existing RGB-T based methods focus on the fused features, while ignoring the robustness and superiority of the extracted features from each single modality. In this paper, a single-modal feature augment network (SMA-Net) is proposed to enhance the features extracted from each branch before feature fusion. Firstly, two single-modal branches are trained separately to optimize the feature extraction of each branch in addition to the training of pedestrian detection based on fused features. To further enhance the single-modal features, fake feature maps generated by random noise are used to combine with the RBG or thermal feature maps. Secondly, a lightweight ROI pooling multiscale fusion module (PMSF) is proposed to obtain more fine-grained and abundant features, in which pooling features of different scales are integrated by adaptively weighting. Finally, a generative constraint strategy is designed to constrain fusion by minimizing the loss function between the generated fusion image and RGB-T pairs. Experimental results on the challenging KAIST multispectral pedestrian dataset demonstrate that the proposed SMA-Net outperforms the state-of-the-art methods in terms of accuracy and computational efficiency.
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
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.