no code implementations • 27 Apr 2024 • Di wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin
In MDPS, the problem of normal image reconstruction is mathematically modeled as multiple diffusion posterior sampling for normal images based on the devised masked noisy observation model and the diffusion-based normal image prior under Bayesian framework.
no code implementations • 17 Jul 2023 • Baihong Lin, Zengrong Lin, Yulan Guo, Yulan Zhang, Jianxiao Zou, Shicai Fan
RGB-T semantic segmentation has been widely adopted to handle hard scenes with poor lighting conditions by fusing different modality features of RGB and thermal images.
Ranked #13 on Thermal Image Segmentation on MFN Dataset
no code implementations • 6 Feb 2023 • Menglong Chen, Xingtai Gui, Shicai Fan
Based on the classic contrastive learning, we propose Cluster-aware Contrastive Learning (CCL) framework for unsupervised OOD detection, which considers both instance-level and semantic-level information.
no code implementations • 7 Jul 2022 • Chun Yang, Shicai Fan
Currently, two popular loss functions are widely used to optimize recommender systems: the pointwise and the pairwise.
1 code implementation • 5 Dec 2021 • Xingtai Gui, Di wu, Yang Chang, Shicai Fan
Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection.
Ranked #8 on Anomaly Detection on One-class CIFAR-10