Stars
Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
XJTU-XGU / DPCL
Forked from liweiyangv/DPCLcode for "Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning" (AAAI 2023, Oral))
XJTU-XGU / PDG
Forked from weixmath/PDGcode for "Learning Generalizable Part-based Feature Representation for 3D Point Clouds" (NeurIPS 2022)
XJTU-XGU / PPOT
Forked from ycyang-xjtu/PPOTcode for "Prototypical Partial Optimal Transport for Universal Domain Adaptation" (AAAI 2023)
[CIKM 2022] Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection (PyTorch)
[ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization
[ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)
Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)
Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".