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Zixin Wang's Projects

fedml icon fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

gcrf icon gcrf

Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

gsam icon gsam

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

gscnn icon gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

intrada icon intrada

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

ldbe icon ldbe

"Domain Adaptive Semantic Segmentation without Source Data" (ACM MM 2021)

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

meta-calibration icon meta-calibration

Official PyTorch implementation of "Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error"

metacorrection icon metacorrection

[CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

otta_vit_survey icon otta_vit_survey

This is an Online Test-time Adaptation (OTTA) benckmark conducted on ViT backbones.

proda icon proda

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

proxy-a-distance icon proxy-a-distance

Proxy A-Distance algorithm for measuring domain disparity in parallel corpora

pytorch-adain icon pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

r-cnn icon r-cnn

目标检测 - R-CNN算法实现

rcnn icon rcnn

Step-By-Step Implementation of R-CNN from scratch in python

ripu icon ripu

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

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