dense prediction 1multi-granularity 1prompt learning 1u-net inspired architecture 1vision-language models 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
U-shaped Multi-granularity Learning for Vision-Language Models
Biao Chen, Yunqian Yu, Xiangxu Zhao +3
The paper introduces UPrompt, a U‑shaped multi‑granularity prompt learning framework that combines global and local prompts for vision‑language models, improving fine‑grained seman…
cs.NE2025
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
Lin Zuo, Yongqi Ding, Mengmeng Jing +3
This paper explores the application of spiking neural networks (SNNs), known for their low-power binary spikes, to bearing fault diagnosis, bridging the gap between high-performanc…