3 accepted papers
Large vision-language models (LVLMs) have shown impressive performance across a broad range of multimodal tasks. However, robust image caption evaluation using LVLMs remains challenging, particularly under domain-shift scenarios. To address this issue, we introduce the Distribution-Aware Score Decod
Small object detection aims to localize and classify small objects within images. With recent advances in large-scale vision-language pretraining, finetuning pretrained object detection models has emerged as a promising approach. However, finetuning large models is computationally and memory expensi…
Referring expression comprehension (REC) aims to localize the target object described by a natural language expression.Recent advances in vision-language learning have led to significant performance improvements in REC tasks.However, localizing extremely small objects remains a considerable challeng…