3 papers
cs.AI2026
Iterate on an LLM, Serve on an SLM
Keegan Wang
As frontier LLMs gain more capabilities, the cost to run them also goes up. At the same time, small language models (SLMs) also gain more capabilities but have largely been able to…
cs.CV2026
VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
Hao Zhu, Shuo Jin, Wenbin Liao +4
Pursuing training-free open-vocabulary semantic segmentation in an efficient and generalizable manner remains challenging due to the deep-seated spatial bias in CLIP. To overcome t…
cs.CV2024
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Hao Zhu, Yan Zhu, Jiayu Xiao +4
Automated crop mapping through Satellite Image Time Series (SITS) has emerged as a crucial avenue for agricultural monitoring and management. However, due to the low resolution and…