Guangzhi Wang (daoyuan98)

daoyuan98

Geek Repo

Company:Tencent

Location:Shenzhen, China

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Guangzhi Wang's repositories

MDDA

Implementation of paper multi-source distilling domain adaptation

MSDA

Experiments on Multi-Source Domain Adaptation

Relation-CZSL

Official implementation of the TMM paper "Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition".

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ODM

Implementation of our ECCV-2022 paper: "Chairs can be stood on: Overcoming Object Bias in Human-Object Interaction Detection"

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SDT-HOI

Official implementation our ACM MM22 Paper "Distance Matters in Human-Object Interaction Detection"

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SemanticTriplet

Implementation of our TMM paper: "Semantic-Aware Triplet Loss for Image Classification"

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DA

Domain Adaptation Papers and Code

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awesome-rl

Reinforcement learning resources curated

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awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

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text2pos-ret

Code for paper "Text to Point Cloud Localization with Relation-Enhanced Transformer"

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caffe-windows

Configure Caffe in one hour for Windows users.

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Efficient-LLM-Survey

The Efficiency Spectrum of LLM

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glm

OpenGL Mathematics (GLM)

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MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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numpy-ml

Machine learning, in numpy

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PELA

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]

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qpic

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

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scikit-learn

scikit-learn: machine learning in Python

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SDT

Official implementation of Spatially Differentiated Transformer (SDT) for Human-Object Interaction Detection proposed in our ACM MM22 Paper "Distance Matters in Human-Object Interaction Detection

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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upt

Official PyTorch implementation for CVPR2022 paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

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zju-icicles

浙江大学课程攻略共享计划

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