YU1ut

Divergence-Optimization

Code for "Divergence Optimization for Noisy Universal Domain Adaptation"

Ensemble-of-Leave-out-Classifiers

Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"

imet-6th-soltuion

Code for iMet Collection 2019 - FGVC6

imprinted-weights

Code for 'Low-Shot Learning with Imprinted Weights'

JointOptimization

Code for 'Joint Optimization Framework for Learning with Noisy Labels'

MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Multi-Task-Curriculum-Framework-for-Open-Set-SSL

Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"

openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

Unknown-Class-Label-Cleaning

Code for "Unknown Class Label Cleaning for Learning with Open-Set Noisy Labels"

UOOD-MCD

YU1ut/MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

YU1ut/openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

YU1ut/imprinted-weights

Code for 'Low-Shot Learning with Imprinted Weights'

YU1ut/imet-6th-soltuion

Code for iMet Collection 2019 - FGVC6

YU1ut/JointOptimization

Code for 'Joint Optimization Framework for Learning with Noisy Labels'

YU1ut/Ensemble-of-Leave-out-Classifiers

Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"

YU1ut/Multi-Task-Curriculum-Framework-for-Open-Set-SSL

Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"

YU1ut/Divergence-Optimization

Code for "Divergence Optimization for Noisy Universal Domain Adaptation"

YU1ut/UOOD-MCD

YU1ut/Unknown-Class-Label-Cleaning

Code for "Unknown Class Label Cleaning for Learning with Open-Set Noisy Labels"

YU1ut/MotionPatches

Official implementation for "Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches" (CVPR 2024)

YU1ut/YU1ut.github.io

YU1ut/AI_Challenger

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

YU1ut/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

YU1ut/Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

YU1ut/deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

YU1ut/EDGE

Official PyTorch Implementation of EDGE (CVPR 2023)

YU1ut/github-actions-handson

YU1ut/IIC

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

YU1ut/incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

YU1ut/java

YU1ut/lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

YU1ut/LtC-MSDA

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

YU1ut/mixup

Implementation of the mixup training method

YU1ut/mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

YU1ut/Skeleton-Temporal-Action-Localization

Official implementation of AAAI 2023 Oral Paper "Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition"

YU1ut/thesis-template

A template primarily for PhD theses but also suitable for Bachelor's or Master's theses

YU1ut/two-stream-action-recognition

Using two stream architecture to implement action recognition on ucf101

YU1ut/whale-1