4 papers
BUS: Brain-Inspired Unsupervised Self-Reflection via Backward Prediction for Multimodal Reasoning
Jiacheng Yang, Tongying Xiao, Yunkai Dang +7
Current Vision-Language Models (VLMs) often struggle to handle complex visual tasks that require consistent and fine-grained reasoning. Recent methods aim to train models to facili…
HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework
Jiacheng Yang, Anqi Chen, Yunkai Dang +5
Current Large Multimodal Models (LMMs) struggle with high-resolution visual inputs during the reasoning process, as the number of image tokens increases quadratically with resoluti…
FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing
Yunkai Dang, Donghao Wang, Jiacheng Yang +7
Large vision-language models (VLMs) exhibit strong performance across various tasks. However, these VLMs encounter significant challenges when applied to the remote sensing domain…
A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs
Yunkai Dang, Meiyi Zhu, Donghao Wang +7
Multimodal large language models (MLLMs) demonstrate strong perception and reasoning performance on existing remote sensing (RS) benchmarks. However, most prior benchmarks rely on…