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cs.CV2024
What Makes Good Few-shot Examples for Vision-Language Models?
Zhaojun Guo, Jinghui Lu, Xuejing Liu +3
Despite the notable advancements achieved by leveraging pre-trained vision-language (VL) models through few-shot tuning for downstream tasks, our detailed empirical study highlight…
cs.CV2023
What Large Language Models Bring to Text-rich VQA?
Xuejing Liu, Wei Tang, Xinzhe Ni +4
Text-rich VQA, namely Visual Question Answering based on text recognition in the images, is a cross-modal task that requires both image comprehension and text recognition. In this…
cs.CV2023
Deeply Coupled Cross-Modal Prompt Learning
Xuejing Liu, Wei Tang, Jinghui Lu +3
Recent advancements in multimodal foundation models (e.g., CLIP) have excelled in zero-shot generalization. Prompt tuning involved in the knowledge transfer from foundation models…