视觉与机器人

多模态信息融合

面向图像、视频、多传感器和跨模态感知的信息融合，包括 Image Fusion、红外可见光、遥感、医学影像、LiDAR/雷达/相机和音视频融合。

2026-02-17 至 2026-02-17 共收录 2 篇信号源：cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 融合架构与评测 2 篇

2601.01112 2026-02-17 cs.CL 50%

EmoLoom-2B: Fast Base-Model Screening for Emotion Classification and VAD with Lexicon-Weak Supervision and KV-Off Evaluation

EmoLoom-2B：基于词典弱监督和KV-Off评估的快速基础模型筛选用于情感分类和VAD预测

Zilin Li, Weiwei Xu, Xuanbo Lu, Zheda Liu

机构 * Zheda Liu（2 刘智达）

专题命中融合架构与评测：multimodal fusion(abstract)

AI总结 EmoLoom-2B通过词典弱监督和KV-Off评估，快速筛选出适用于情感分类和VAD预测的基础模型。

Comments This paper presents an initial and self-contained study of a lightweight screening pipeline for emotion-aware language modeling, intended as a reproducible baseline and system-level design reference. This latest version corrects and updates certain personal information

2501.16178 2026-02-17 cs.LG stat.ML 50%

SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting

SWIFT：基于小波分解的子序列映射提升时间序列预测

Wenxuan Xie, Fanpu Cao

机构 * South China University of Technology, Guangzhou, China（华南理工大学）

专题命中融合架构与评测：information fusion(abstract)

AI总结 SWIFT通过小波分解和轻量级结构提升长期时间序列预测的效率与性能。