Qin Wang's repositories
webvision-2.0-benchmarks
[CVPR 2020 Workshop Challenge] Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web.
webvision-2020-public
Webvision Challenge 2020 developer kit
alexnet-finetune-office-31
Reproduce 60% accuracy on alexnet finetune task on office-31 in Tensorflow
DA-diagnosis
Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM-Paris). IEEE, 2019.
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
AutoGAN
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
DeepLearningExamples
Deep Learning Examples
eazy-for-ss
A Bypassgfw Collection
elovation
Simple rails app to track your game results with elo and trueskill ratings
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
generalize-unseen-domains
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NIPS 2018
gitignore
A collection of useful .gitignore templates
improving_segmentation_with_selfsupervised_depth
An implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"
LAV
(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.
minima
Minima is a one-size-fits-all Jekyll theme for writers.
Noisy-Labels-Problem-Collection
This is a collection of Papers and Codes for Noisy Labels Problem.
onedrive-vercel-index
OneDrive public directory listing, powered by Vercel and Next.js
PlotNeuralNet
Latex code for making neural networks diagrams
realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
temporal-depth-segmentation
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019.
vat_tf
Virtual adversarial training with Tensorflow