24 citations · 24 across the 7 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie, Wenqiang Zu, Mingyang Zhao +6
Autoregression in large language models (LLMs) has shown impressive scalability by unifying all language tasks into the next token prediction paradigm. Recently, there is a growing…
cs.CV2024★ 24 cited
Embedded Visual Prompt Tuning
Wenqiang Zu, Shenghao Xie, Qing Zhao +2
Foundation models pre-trained on large-scale data have been widely witnessed to achieve success in various natural imaging downstream tasks. Parameter-efficient fine-tuning (PEFT)…