28 citations · 49 across the 5 of their papers we have counts for
5 papers
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
Bo Li, Yuanhan Zhang, Liangyu Chen +5
High-quality instructions and responses are essential for the zero-shot performance of large language models on interactive natural language tasks. For interactive vision-language…
Latent Distribution Adjusting for Face Anti-Spoofing
Qinghong Sun, Zhenfei Yin, Yichao Wu +2
With the development of deep learning, the field of face anti-spoofing (FAS) has witnessed great progress. FAS is usually considered a classification problem, where each class is a…
What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
Large-scale models trained on broad data have recently become the mainstream architecture in computer vision due to their strong generalization performance. In this paper, the main…
On-Device Domain Generalization
Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang +3
We present a systematic study of domain generalization (DG) for tiny neural networks. This problem is critical to on-device machine learning applications but has been overlooked in…
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Yuanhan Zhang, Zhenfei Yin, Jing Shao +1
Though impressive performance has been achieved in specific visual realms (e.g. faces, dogs, and places), an omni-vision representation generalizing to many natural visual domains…