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 #12 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