2 papers
cs.CV2026
Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding
Zhenghao Xie, Jing Xiao, Zhenqi Wang +4
Remote sensing understanding inherently requires multi-resolution observation, since different targets and application tasks demand different levels of spatial detail. While low-re…
cs.CL2024
Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
Zhongjian Hu, Peng Yang, Bing Li +1
Large Language Models (LLMs) have achieved impressive results in knowledge-based Visual Question Answering (VQA). However existing methods still have challenges: the inability to u…