Xin Zhao (zhaoxin94)

zhaoxin94

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Company:Jilin University

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Xin Zhao's repositories

Domain-Consensus-Clustering

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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AaD_SFDA

Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'

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BETA

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

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Calibrated-Multiple-Uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

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CLDA-2022

Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)

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CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

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cs-self-learning

计算机自学指南

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DAPrompt

Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

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Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

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DDA

Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"

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DINE

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

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EVP

This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"

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GVRT

[ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization

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JUMBOT

Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

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lgssl

[CVPR 2023] Learning Visual Representations via Language-Guided Sampling

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multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

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MUST

PyTorch code for MUST

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NRC_SFDA

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

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OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

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Paper-Writing-Tips

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

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torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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UNICON-Noisy-Label

Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

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UniOT-for-UniDA

Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"

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visual_prompting

Exploring Visual Prompts for Adapting Large-Scale Models

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vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

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