wgqtmac

cvprw2020

The code for Chalearn Single-modal (RGB) Cross-ethnicity Face anti-spoofing Recognition Challenge@CVPR2020

DR-UDA

This is the source code for paper "Unsupervised Adversarial Domain Adaptation for Cross-domain Face Presentation Attack Detection"

MultiModalPAD

This repo is for ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Awesome-3D-Object-Detection-for-Autonomous-Driving

Papers on 3D Object Detection for Autonomous Driving

Awesome-Interview

Collection of awesome interview references.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

CDTrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

CodingInterviewChinese2

《剑指Offer》第二版源代码

DCL

Destruction and Construction Learning for Fine-grained Image Recognition

DN4

The code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Domain-generalization

All about domain generalization

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

MINE-Mutual-Information-Neural-Estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

NAS

Neural architecture search(NAS)

numpy-ml

Machine learning, in numpy

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PaddleVideo

基于模块化的设计，提供丰富的视频算法实现、产业级的视频算法优化与应用，包括安防、体育、互联网、媒体等行业的动作定位与识别、行为分析、智能封面、视频标注、视频打标签等，涵盖动作识别与视频分类、动作定位、动作检测、多模态文本视频检索等技术。

Point-BERT

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

RingNet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

SoTA-Point-Cloud

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

wgqtmac

wgqtmac.github.io

Homepage