Zobrazeno 1 - 10
of 14 288
pro vyhledávání: '"YANG, XI"'
Continual Learning (CL) aims to equip AI models with the ability to learn a sequence of tasks over time, without forgetting previously learned knowledge. Recently, State Space Models (SSMs), particularly the Mamba model, have achieved notable success
Externí odkaz:
http://arxiv.org/abs/2411.15469
While Test-Time Adaptation (TTA) has shown promise in addressing distribution shifts between training and testing data, its effectiveness diminishes with heterogeneous data streams due to uniform target estimation. As previous attempts merely stabili
Externí odkaz:
http://arxiv.org/abs/2411.15173
Tabular anomaly detection under the one-class classification setting poses a significant challenge, as it involves accurately conceptualizing "normal" derived exclusively from a single category to discern anomalies from normal data variations. Captur
Externí odkaz:
http://arxiv.org/abs/2411.07574
Autor:
Tan, Zhaorui, Yang, Xi, Pan, Tan, Liu, Tianyi, Jiang, Chen, Guo, Xin, Wang, Qiufeng, Nguyen, Anh, Qi, Yuan, Huang, Kaizhu, Cheng, Yuan
The differences among medical imaging modalities, driven by distinct underlying principles, pose significant challenges for generalization in multi-modal medical tasks. Beyond modality gaps, individual variations, such as differences in organ size an
Externí odkaz:
http://arxiv.org/abs/2411.06106
The proliferation of 2D foundation models has sparked research into adapting them for open-world 3D instance segmentation. Recent methods introduce a paradigm that leverages superpoints as geometric primitives and incorporates 2D multi-view masks fro
Externí odkaz:
http://arxiv.org/abs/2411.03819
Medical Image Analysis (MedIA) has become indispensable in modern healthcare, enhancing clinical diagnostics and personalized treatment. Despite the remarkable advancements supported by deep learning (DL) technologies, their practical deployment face
Externí odkaz:
http://arxiv.org/abs/2411.05824
In human-centric tasks such as healthcare and education, the heterogeneity among patients and students necessitates personalized treatments and instructional interventions. While reinforcement learning (RL) has been utilized in those tasks, off-polic
Externí odkaz:
http://arxiv.org/abs/2410.20017
Publikováno v:
Heritage Science 12 (2024) 1-7
Museums, which are among the most popular science institutions outside schools, are usually used to display and introduce historical culture and cultural relics to tourists. Text and audio explanations are used by traditional museums to popularize hi
Externí odkaz:
http://arxiv.org/abs/2410.18088
Vision models excel in image classification but struggle to generalize to unseen data, such as classifying images from unseen domains or discovering novel categories. In this paper, we explore the relationship between logical reasoning and deep learn
Externí odkaz:
http://arxiv.org/abs/2410.04492
This paper presents fast solvers for linear systems arising from the discretization of fractional nonlinear Schr\"odinger equations with Riesz derivatives and attractive nonlinearities. These systems are characterized by complex symmetry, indefiniten
Externí odkaz:
http://arxiv.org/abs/2410.03643