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Yuntao Du's Projects

3catn icon 3catn

Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019

ape icon ape

[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

bait_sfuda icon bait_sfuda

Unsupervised Domain Adaptation without Source Data by Casting a BAIT

beta icon beta

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors (ICLR 2023 Spotlight)

blackvip icon blackvip

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"

blog icon blog

Public repo for HF blog posts

bnm icon bnm

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

cd-fer-benchmark icon cd-fer-benchmark

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)

cdne icon cdne

Network Together: Node Classification via Cross-Network Deep Network Embedding

cds icon cds

CDS: Cross-Domain Self-supervised Pre-training

cdtrans icon cdtrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

clipood icon clipood

About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

daformer icon daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

dassl.pytorch icon dassl.pytorch

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

dda icon dda

Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)

decota icon decota

ICCV 2021: Deep Co-Training with Task Decomposition for Semi-supervised Domain Adaptation

detr icon detr

End-to-End Object Detection with Transformers

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