Zobrazeno 1 - 10
of 108 736
pro vyhledávání: '"Feature Learning"'
The predominant success of diffusion models in generative modeling has spurred significant interest in understanding their theoretical foundations. In this work, we propose a feature learning framework aimed at analyzing and comparing the training dy
Externí odkaz:
http://arxiv.org/abs/2412.01021
With the widespread application of human body 3D reconstruction technology across various fields, the demands for data transmission and processing efficiency continue to rise, particularly in scenarios where network bandwidth is limited and low laten
Externí odkaz:
http://arxiv.org/abs/2411.15595
Autor:
Li, Jiawen, Guan, Tian, Xia, Qingxin, Wang, Yizhi, Ling, Xitong, Li, Jing, Huang, Qiang, Wang, Zihan, Shen, Zhiyuan, Ma, Yifei, Zhao, Zimo, Lei, Zhe, Chen, Tiandong, Tan, Junbo, Wang, Xueqian, Bian, Xiu-Wu, Wang, Zhe, Guo, Lingchuan, He, Chao, He, Yonghong
Foundation models have revolutionized the paradigm of digital pathology, as they leverage general-purpose features to emulate real-world pathological practices, enabling the quantitative analysis of critical histological patterns and the dissection o
Externí odkaz:
http://arxiv.org/abs/2412.20430
Autor:
Raskoti, Chandra, Li, Weizi
Accurate vehicle trajectory prediction is crucial for ensuring safe and efficient autonomous driving. This work explores the integration of Transformer based model with Long Short-Term Memory (LSTM) based technique to enhance spatial and temporal fea
Externí odkaz:
http://arxiv.org/abs/2412.13419
Analytic continuation aims to reconstruct real-time spectral functions from imaginary-time Green's functions; however, this process is notoriously ill-posed and challenging to solve. We propose a novel neural network architecture, named the Feature L
Externí odkaz:
http://arxiv.org/abs/2411.17728
In the field of medical image segmentation, challenges such as indistinct lesion features, ambiguous boundaries,and multi-scale characteristics have long revailed. This paper proposes an improved method named Intensity-Spatial Dual Masked AutoEncoder
Externí odkaz:
http://arxiv.org/abs/2411.13198
Given a collection of feature maps indexed by a set $\mathcal{T}$, we study the performance of empirical risk minimization (ERM) on regression problems with square loss over the union of the linear classes induced by these feature maps. This setup ai
Externí odkaz:
http://arxiv.org/abs/2411.12029
Video-based visible-infrared person re-identification (VVI-ReID) is challenging due to significant modality feature discrepancies. Spatial-temporal information in videos is crucial, but the accuracy of spatial-temporal information is often influenced
Externí odkaz:
http://arxiv.org/abs/2411.11069
Publikováno v:
Proceedings of the SPIE Medical Imaging, 16--20 February, 2025, San Diego, California, US
When conducting large-scale studies that collect brain MR images from multiple facilities, the impact of differences in imaging equipment and protocols at each site cannot be ignored, and this domain gap has become a significant issue in recent years
Externí odkaz:
http://arxiv.org/abs/2501.01326