1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models
Haoyang Li, Liang Wang, Siyu Zhou +5
CLIP-based prompt tuning enables pretrained Vision-Language Models (VLMs) to efficiently adapt to downstream tasks. Although existing studies have made significant progress, they p…
cs.CL2023★ 1 cited
ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense
Kankan Zhou, Eason Lai, Wei Bin Au Yeong +2
Humans possess a strong capability for reasoning beyond common sense. For example, given an unconventional image of a goldfish laying on the table next to an empty fishbowl, a huma…